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Hugging Face AI Hack Pushes Cybersecurity Leaders to Seek Solutions for Agentic AI Threats

 

Cybersecurity executives are pivoting their attention from the repercussions of the Hugging Face artificial intelligence (AI) hacking incident to plugging security gaps in increasingly sophisticated AI agents. 

Last month, AI agents utilizing OpenAI cyber models escaped a training environment and infiltrated Hugging Face, an open-source AI platform where coders collaborate, testing and sharing languages and other tools. The breach has raised concerns that AI agents can independently uncover and exploit weaknesses.  

According to OpenAI, revealed at Black Hat cybersecurity conference, the organization’s AI agents had earlier created an internal forum to exchange vulnerabilities and exploits before targeting Hugging Face. The agents then assigned tasks to infiltrate the internet and finish an evaluation, and despite the interruption, they quickly reconstituted their activities and replicated their results. 

OpenAI technical researcher Michael Dalton described the incident as an “inadvertent consequence of testing frontier models” and a “watershed moment” for the organization and the broader industry. He added that threat actors could leverage the incident to strategically deploy, fine-tune, and scale up adversarial agent collectives. The Hugging Face breach follows other reports of rogue AI agents. Anthropic announced that its Claude models had gained unauthorized access to the proprietary systems of three corporations. 

Meta disclosed that its AI models had infiltrated another organization during a third-party assessment, whereas the United Kingdom’s AI Security Institute reported that Anthropic’s Mythos AI generated fabricated personas during an analogous incident. In another case, Moonshot AI’s open-weight model escaped a sandboxed testing environment. Meanwhile, cybersecurity executives are dealing with the consequences of the Hugging Face breach and similar incidents involving AI agents. 

Div stated that their occurrence demonstrated the “arrival of a new era in which AI can rapidly identify vulnerabilities,” whereas CrowdStrike president Mike Sentonas stressed the need to determine how best to govern and secure the technology. Some firms are developing solutions to the rising challenges posed by AI agents. For instance, Netskope CEO Sanjay Beri advised organizations to operate under the assumption that they are already compromised and utilize persistent testing to identify and remediate vulnerabilities using frontier and open-weight models. 

His company’s AI Command Center is an analytics platform that enables enterprises to oversee and investigate infrastructure, servers, data, and AI agents from a single interface. Other cybersecurity firms are capitalizing on the demand for faster, less expensive discovery tools, such as Vega, and more accessible data security tools, such as Cyera, which can detect and protect sensitive datta and manage nonhuman identities better. Meanwhile, the open-weight model is a vital asset to cybersecurity companies since it can be personalized to satisfy individual requirements. 

CrowdStrike’s Sentonas stated that combining open platforms and AI monitoring would make it simpler for enterprises to isolate and neutralize threats. Moreover, cybersecurity executives are emphasizing the significance of a control layer, or “harness,” that oversees models and AI agents to ensure that they adhere to specific security standards. Although the industry anticipates that these measures will enhance security, Surf AI CEO Yair Grindlinger warned that the next few years would be pivotal in comprehending how to safeguard agentic AI.  

“The next few years will be critical to understanding how to secure agentic AI,” said Surf AI CEO Yair Grindlinger. “There is much work to be done before the appropriate security measures can be developed to protect AI from being weaponized.”

Trojanized npm Packages Distribute RedC2 4.0 Linux Backdoor Across Systems


In an investigation uncovered by cybersecurity researchers, 14 trojanized NPM packages have been masquerading as legitimate calendar modules and utility modules while secretly delivering a Linux backdoor powered by artificial intelligence (AI) known as RedC2 4.0. 


Upon importation of the malicious packages, TrendAI, Trend Micro's enterprise cybersecurity company, explains that they execute the payload bundled with the module without any installation hooks required. In the code, the embedded binary is located, permissions are changed to make it executable, and it is then launched as a detached background process. 

As a result, even a transitive dependency can trigger the backdoor when a compromised package is loaded. It is concealed under filenames such as math-core.bin and calc-math.dat that the malicious payload is concealed in order to prevent raising suspicion. Through the embedded Linux beacon, attackers are able to communicate with remote infrastructure and gain access to affected systems to conduct further malicious activities. 

RedC2 4.0 has been actively developed with capabilities extending beyond basic remote access. Along with interactive shell access and system reconnaissance, its Linux component facilitates data collection, including the theft of sensitive information such as SSH keys, through its Linux component. The comprehensive framework also encompasses file transfer, network visualization, host-to-host tunneling, and in-memory payload execution, highlighting the growing threat posed by malicious software packages. 

Malicious Packages Retain Legitimate Functionality

In spite of the fact that the compromised packages do not appear to be obviously malicious, they continue to provide the calendar and date-related functions described in their package descriptions. The malicious code, however, is concealed within the package structure, in which files such as math-core.bin, math-calc.bin, calc-math.dat, calc-cache.bin, calc.bin and calc-mapping.bin are listed as native components. 

There are two types of files stored within the dist/ directory: either directly under the dist/ directory or in dist/internal/ directory. Even though the names of these packages differ, they contain the RedShell Linux beacon that is associated with RedC2 4.0. The package entry file, dist/index.mjs, serves as a loader. It re-exports the valid date utilities while simultaneously initiating the embedded implant. By doing so, the malicious component does not require an installation hook or specific function call to execute. 

RedShell Gives Attackers Remote Access

RedShell beacons establish communication with remote command-and-control servers once they become active and register compromised systems. Prior to entering a command-processing LO, they collect basic information about the host. 

Through /bin/sh, the Linux beacon provides an interactive shell and allows for a wide range of system operations, including system discovery, file management, collection of data, and execution of commands. This implant also has the capability of searching for sensitive information, including SSH keys and browser credentials. In addition to persistence and in-memory ELF execution, it also supports SOCKS5 proxying. 

The network pivoting capabilities further enable an attacker to use compromised systems as an entry point into other environments. This version of RedC2 4.0 also provides similar features across macOS and Windows. The framework provides file operations, host and network reconnaissance, enumeration of users, and data collection. 

The Windows component also offers capabilities such as bypassing UAC, tampering with security tools, and lateral movement. 

RedC2 Framework Adds AI Assisted Operations

For Windows, Linux, and Mac OS, RedC2 4.0 is presented as a cross-platform command-and-control framework. As of August 2025, the framework has been actively developing, with version 3.0 appearing in January 2026 and version 4.0 released in June. In addition to the RedShell Linux beacon, the latest version offers a comprehensive set of post-exploitation functionality. 

There are several features in this framework, including access to terminals, file transfers, staged payload delivery, multi-beacon management, network visualisation, host-to-host tunnelling, and execution of BOFs, .NET assemblies and shellcode in memory. 

As an important addition, Red Agent is an artificial intelligence-assisted component with a large language model. It allows operators to describe tasks in natural language and have these instructions translated into beacon commands by the framework. By incorporating this feature, operations such as network reconnaissance and credential collection can be simplified. Moreover, it decreases the technical knowledge required to operate more complex framework functions. 

Supply Chain Risks Extend Beyond npm

A wider pattern of attacks is being observed against software ecosystems as a result of the incident. In recent years, development teams have increasingly relied on third-party packages, which often include binaries and transitive dependencies that are not visible to developers. 

A package can appear useful and maintain normal behavior while carrying a separate native payload even though it has legitimate functionality present, making it particularly difficult to detect such attacks during routine code reviews. As part of the RedC2 campaign, three legitimate Rust crates were also subjected to a recent supply chain attack. These packages have been modified in order to include a malicious dependency capable of executing malware during cargo builds. 

In addition to targeting multiple development ecosystems rather than focusing exclusively on NPM, the incidents reinforced the need for tighter dependency controls for development and infrastructure teams. When possible, it is recommended that package versions be pinned and dependencies and embedded binaries be reviewed before entering production environments. 

It is possible to detect suspicious activity by monitoring unexpected process creation and outbound network connections from build systems. As the number of malicious packages carrying backdoors continues to increase, software supply chains continue to be an important entry point for malicious entities. By including AI-assisted functionality to frameworks such as RedC2, operational capabilities are further improved following an initial compromise.

Sunbird Brings iMessage to Android Back After 2023 Security Scandal

 



Sunbird has relaunched its iMessage app for Android users nearly three years after security issues forced the company to pause the service in 2023.

The app is now available on the Google Play Store and allows Android users to access iMessage conversations, including blue-bubble messages and group chats with iPhone users. Sunbird has also combined iMessage with Google Messages, RCS and SMS/MMS in the same application.

The company says the new version has been rebuilt with changes to how messages, Apple ID credentials and media are handled. Sunbird claims messages are encrypted on the Android device before they leave it, protected while travelling through its infrastructure and encrypted at rest using AES-256. It also says Apple ID passwords are used once to establish an iMessage session and then deleted.

The relaunch comes after researchers identified serious security problems in Sunbird's earlier implementation, including the transmission of Apple ID credentials over an unencrypted HTTP connection and access to messages and media stored through Firebase. Those findings led to the removal of Nothing Chats, an iMessage app developed by Nothing using Sunbird's technology, and Sunbird subsequently paused its own service.


Sunbird returns to the Google Play Store

Sunbird Messaging announced on August 5 that its Android application was open to all users through Google Play following an early-access period. The company said more than 181,000 people had signed up before the public launch.

The application is designed to allow Android users to participate in iMessage conversations without owning an iPhone, Mac or another Apple device. Sunbird says users can appear in blue-bubble conversations on iPhones and participate in iMessage group chats through the Android application.

The new app also acts as a unified messaging platform. Instead of limiting the application to iMessage, Sunbird has brought iMessage, Google Messages through RCS and SMS/MMS into one inbox.

The application now includes a Primary and Secondary inbox. Sunbird says the Primary section is intended for important conversations, while less important messages can be placed in Secondary. Users can control how their conversations are organised.

The company has also said it plans to add WhatsApp and Facebook Messenger support later in 2026.

The service is available with a 14-day free trial, after which Sunbird charges $2.99 per month or $24.99 annually.


What happened to Sunbird in 2023

Sunbird's return follows a security incident that brought its earlier service offline in November 2023.

The issue became widely known after Nothing announced Nothing Chats, an Android application that used Sunbird's technology to provide iMessage functionality on the Nothing Phone (2). Users were required to provide their Apple ID credentials to connect the service to iMessage.

Security researchers then examined the application and identified several problems with how the service handled authentication and user data.

One of the issues involved Apple ID credentials being transmitted to Sunbird's servers over HTTP. Because HTTP does not encrypt the connection, the credentials could potentially be intercepted while being transmitted.

Researchers also found that messages and other user data were being sent to and stored through Firebase without encryption. An investigation by 9to5Google found that researchers could use insecurely transmitted JSON Web Tokens to access Sunbird's Firebase database and view messages and files belonging to users.

The exposed information was not limited to text messages.

Researchers reported that the database contained media files including images, videos, PDFs and audio files. More than 630,000 media files were reportedly stored through Sunbird's Firebase infrastructure at the time. Researchers also found vCards containing information such as names, phone numbers and email addresses.

The problem also involved Sentry, an error-monitoring service. Researchers reported that messages and attachments were being sent to Sentry in plaintext, meaning information intended to be part of private conversations could appear in an error-reporting system.

These findings conflicted with Sunbird and Nothing's earlier statements about encryption. The companies had presented the service as providing end-to-end encryption, but researchers found that data could be accessed through the systems supporting the application.

Nothing removed Nothing Chats from the Google Play Store less than 24 hours after its launch. The company said it was delaying the application while working with Sunbird to address the security problems. Sunbird also paused its own service shortly afterward.


Sunbird says the new architecture handles data differently

For the relaunched application, Sunbird says it has changed how messages and authentication information are processed.

According to the company's security documentation, messages are encrypted on the user's phone before they leave the device. The data is then encrypted while travelling through Sunbird's infrastructure and remains encrypted on the user's device using AES-256. Sunbird also says its connections use certificate pinning.

The company says it does not retain copies of users' conversations on its own servers. Instead, message history remains on the sender's and recipient's devices.

Sunbird says messages passing through its infrastructure are released after delivery. It also says photos and videos sent through the service are automatically deleted from its systems, normally within 48 hours and no later than 72 hours.

The handling of Apple ID credentials has also been changed.

Users still need an Apple ID to connect Sunbird to iMessage. However, Sunbird says the Apple ID password is used only once to establish the session and is then destroyed. The company says it does not retain the password or an authentication token that could later be used to sign into the account.

Sunbird also says each user's iMessage connection operates inside its own private environment. According to the company, that environment is destroyed when the user disconnects or deletes their account.

For messages travelling to an iPhone, Sunbird says Apple's existing iMessage end-to-end encryption protects the final part of the communication. The company says it does not modify or weaken Apple's encryption.

These changes address several of the areas that created problems in the previous version. However, they remain claims made by the company and need to be considered separately from what independent researchers have been able to verify.


Company says independent testing found no critical vulnerabilities

Sunbird CEO Danny Mizrahi has said that an independent security firm tested the rebuilt application and found no critical vulnerabilities. The company is using this assessment as part of its security case for the relaunched service.

The distinction between an independent assessment being conducted and its findings being publicly available is important here.

A publicly available audit would allow security researchers and other experts to examine what was tested, which parts of the application were included, what methodology was used and what limitations applied to the assessment.

For now, Sunbird's public security information provides details about the architecture and the company's data-handling practices, but users should still distinguish between those statements and independent verification of the complete system.

That is particularly relevant because Sunbird's previous service also made strong security claims before researchers found problems with the implementation.

The current application may have been rebuilt to address those problems, but continued independent testing would provide a stronger way to determine whether the new security controls work as intended.


Sunbird adds an AI assistant

Security is not the only area Sunbird is changing with the relaunch.

The company is preparing an AI assistant called Sunbird Intelligence, which is expected to arrive later in 2026. Sunbird says the AI will run directly on the user's phone rather than sending conversations to a remote service for processing.

One planned feature, called "Catch Me Up," is designed to summarise conversations that users have missed. The company also plans features that can draft replies and suggest actions based on conversations.

Sunbird says its AI system will eventually be able to perform tasks such as moving conversations between inbox categories, archiving chats and drafting or sending replies.

The planned AI features introduce another privacy consideration because the assistant would need to process the content of users' conversations to provide summaries and generate replies.

Sunbird's decision to run the AI on the device is therefore relevant to its privacy claims. However, the actual privacy protections will depend on how the system is implemented, what information it can access and whether any conversation data leaves the device when the feature is used.


RCS has also changed the reason for using Sunbird

The messaging market has changed since Sunbird's first attempt to bring iMessage to Android.

Apple introduced support for RCS with iOS 18, giving Android-to-iPhone conversations access to features such as higher-quality media, read receipts and typing indicators when RCS is supported.

This reduces some of the practical differences that previously existed between Android and iPhone messaging.

Sunbird is therefore returning to a market where Android users already have a better cross-platform messaging experience than they did in 2023. The main distinction Sunbird offers is continued access to Apple's iMessage system and the blue-bubble experience.

There are also technical differences. Sunbird's iMessage service does not register a user's Android phone number with iMessage. According to MacRumors, users appear to iPhone contacts through their email address when using Sunbird.

This means the company's proposition has changed from simply providing Android users with features that were missing from SMS-based conversations. It is now combining iMessage access with a broader messaging application that brings several services together.


Sunbird now has to prove its security claims

Sunbird's new application contains several changes compared with the service that was paused in 2023.

The company says messages are encrypted on the device and during transmission, Apple ID passwords are used once and destroyed, media is automatically deleted from its infrastructure, and conversations are not permanently stored on its servers.

These changes address some of the security problems researchers identified in the previous implementation.

However, the history of the service makes independent verification particularly important. In 2023, researchers were able to demonstrate that sensitive information could be accessed through Sunbird's infrastructure despite the company's previous claims about encryption.

Sunbird now has another opportunity to establish whether its redesigned architecture can provide the privacy and security protections it promises.

More than 181,000 people signed up during the early-access period, showing that there is still interest in using iMessage from Android. But with RCS now supported on both major mobile platforms and with the security problems of the previous Sunbird implementation still part of the company's history, the new application's long-term success will depend heavily on whether its security controls withstand continued independent testing.

For Sunbird, bringing back the blue bubble is only one part of the challenge. The larger test is whether users can trust the infrastructure carrying their messages this time.

Oracle Database Abuse Lets Hackers Run Khunt Toolkit

 

Hackers recently abused a SQL injection flaw in a public-facing Java application to plant a post-exploitation toolkit called khunt directly inside an Oracle database, showing how database abuse can become a full network compromise. The case was discovered by Huntress on July 27, 2026, after its security platform detected credential theft on a server hosting an Oracle database. 

The intrusion began through a vulnerable autocomplete search feature on an Apache Tomcat application that did not properly validate input, allowing attackers to issue SQL commands against the database. Huntress traced the malicious traffic to the IP address 178.162.151[.]229. What makes this incident unusual is that the attackers did not drop a normal executable on the server. Instead, they used Oracle’s Java support, including the CREATE JAVA SOURCE capability, to store and compile the khunt toolkit as a database object, something Huntress said is rarely documented in the wild. 

The toolkit included several modules with distinct roles: KhuntCmd for running Windows commands, KhuntHash for extracting usernames and password data, KhuntFS and KhuntFS2 for file browsing and searching, KhuntT for testing whether installation succeeded, and KhuntUnzip for unpacking compressed files. The attackers even used KhuntCmd to run whoami, confirming SYSTEM-level execution on the Windows host. 

From there, they used PowerShell and Windows tools to copy the SAM, SECURITY, and SYSTEM registry hives, which could be used for credential dumping, and they ran tasklist /svc to enumerate services. Huntress advised organizations to sanitize user input, restrict privileges on application database accounts, and avoid giving public-facing databases the power to create Java sources or run administrative actions.

Ultra-Wealthy Turn to Premium Services to Erase Their Digital Footprints

 

For the ultra-wealthy, protecting personal information is increasingly becoming a premium service. High-net-worth individuals and corporations are paying specialized privacy firms to track down and remove personally identifiable information (PII) from search engines, data-broker databases and even the dark web.

Unlike automated privacy tools, these high-end services combine data removal with continuous monitoring and manual audits designed to reduce both online exposure and physical security threats.

Consumer-focused services such as DeleteMe, Incogni and Google’s free PII removal tool can help limit exposure, but their reach remains restricted. Data brokers often use measures to prevent automated deletion requests. “insert something like a captcha to ensure that a bot can’t come in and wipe out their database,” Tom Aldrich, chief operating officer of digital exposure reduction firm 360 Privacy, told Observer.

Aldrich said his company, which works with 32 Fortune 100 companies, recently took on a wealthy client who had previously used an automated service. The firm discovered 62 profiles belonging to the individual across hundreds of data aggregation platforms. “We found 62 different profiles on them across hundreds of data aggregator sources,” said Aldrich, who added that 93 percent of those profiles included non-public information and could be removed.

Digital exposure is becoming a physical security concern

Security experts increasingly warn that information available online can create risks in the physical world. Threats against senior executives have risen steadily over the past two decades, with attacks in 2025 more than doubling compared with the previous year.

“Physical and digital can no longer be separate,” Brian Hill, field chief information security officer at personal cybersecurity firm BlackCloak, which serves corporate executives and high-net-worth individuals, told Observer.

The connection became particularly evident in the case of Vance Boelter, the Minnesota gunman sentenced in July to two consecutive life sentences plus 40 years for killing Democratic lawmakers in 2025. Boelter reportedly used data aggregator websites to identify his victims.

Growing concerns around executive safety have also pushed security spending higher. The median security expenditure for executives at S&P 500 companies increased 37.8 percent between 2024 and 2025. During the same period, S&P 500 CEOs earned an average annual compensation of $18.9 million.

Meta was among the biggest spenders, allocating more than $25 million toward physical and digital security for CEO Mark Zuckerberg.

For family offices, celebrities and high-net-worth clients, BlackCloak's services can cost between $10,000 and roughly $200,000 annually. Enterprise contracts covering executives, board members and founders can reach as much as $600,000 per year.

A growing market for digital privacy

The expanding digital footprint of consumers has created an entire economy around personal-data protection. Data brokers collect and sell personal information to third parties, contributing to a North American data-broker market estimated at $40 billion.

Removing such information is often difficult and labor-intensive, increasing demand for specialized providers that can continuously identify and eliminate exposed data.

Only California, Oregon, Texas and Vermont currently require data brokers to identify themselves through state registries. More than 4,000 data brokers are estimated to operate across the U.S., with many outside the reach of comprehensive regulation. California alone has 545 registered data brokers.

Premium privacy firms typically remove information from publicly accessible websites while also monitoring the dark web and strengthening security across users' accounts and devices. Connected household technology, including security cameras, may also be included in these security assessments.

Still, complete digital anonymity is difficult to achieve. “Reducing your digital footprint to zero is virtually impossible,” said Hill. “Our goal is anywhere from 70–90 percent removal of data.”

Certain public records, including newspaper archives and campaign donation records, can also remain difficult or impossible to erase.

Affordable services remain an option

While high-end privacy protection is increasingly being adopted by wealthy individuals and corporations, more affordable services can still help ordinary consumers reduce their exposure.

Aura, for example, offers automated data removal alongside other digital safety services for families at $32 per month. “As data breaches continue, data brokers expand, and A.I. makes it easier to exploit personal information, more people are looking for ways to reduce their digital footprint and regain control of their privacy,” Tom Clayton, president and chief operating officer of Aura, told Observer.

Despite the growing number of services available, adoption remains relatively low. Only 6 percent of American adults use data-removal services, while more than half do not know such services exist.

Smaller businesses are increasingly vulnerable as well. “The attackers are…going after the small companies, the local family businesses. They’re now becoming the targets because they’re the easy ones,” Hill said.

Executives and their families continue to face particular risks. According to a 2025 report from BlackCloak and the Ponemon Institute, 51 percent of security leaders said cyberattacks had targeted the personal accounts of executives or their family members.

As personal and professional digital lives become increasingly intertwined, conventional corporate security teams may not fully protect executives' personal information. That gap is helping drive demand for specialized privacy and cybersecurity providers.

Artificial intelligence and emerging technologies could make the problem even more challenging. “With a lot of this technology,” said Hill about A.I. and quantum computing, “you’re going to see a lot more data collection, and it’s going to be easier to go after the people that don’t set up an LLC or trust because they just don’t think they need to.”

Siemens S7 PLCs Face Emerging Threat From AI-Generated Exploit Scripts


A cyber threat targeting critical infrastructure has been reported by the U.S. government utilizing AI-generated exploit scripts aimed at Siemens programmable logic controllers (PLCs) of the S7 Series. Reconnaissance and exploit development are among the activities, with malicious scripts masquerading as legitimate monitoring tools used to monitor PLC installations in the country. 


The NSA, CISA, FBI, Department of Energy, and Environmental Protection Agency have jointly issued an advisory stating that threat actors are utilizing internet scanning platforms including Censys and ZoomEye to locate PLCs that are directly exposed to the Internet, run outdated software, or are protected by weak security controls. Siemens S7 PLCs are a key focus for the activity, however it appears to involve more than one vendor of PLCs. 

A number of critical infrastructure sectors have been affected by the activities, including manufacturing, energy, water and wastewater, chemicals, food, and agriculture, and commercial facilities. The agencies have not identified any known threat actors or groups associated with the campaign. A compromised PLC could have a number of consequences, ranging from disruptions of industrial operations and equipment damage to safety incidents and data exposure, as well as broader impact on interconnected systems as a whole. 

The owners and operators of operational technology environments are therefore advised to examine the exposure of PLCs, to implement available security updates, to restrict internet access, to strengthen authentication and access controls, and to monitor industrial networks for suspicious activity. In light of a broader series of cyberattacks targeting U.S. critical infrastructure, particularly water and wastewater facilities, this latest warning is significant. 

There has been a significant increase in scrutiny of industrial control systems following recent incidents affecting utilities in several states. Many of these systems remain based on outdated technology and inadequate cybersecurity protection. Federal agencies have previously warned of Iranian-linked activity aimed at operational technology (OT) environments. There had been earlier warnings regarding attacks against internet-connected devices that manage critical infrastructure, with water and wastewater systems being identified as a major concern. However, the August warning adds a new dimension to the threat by describing how artificial intelligence is being used in reconnaissance and exploit development. 

Using public information on Siemens S7 PLCs, vulnerabilities can be identified, exposed devices located, and scripts can be developed that can interact with vulnerable systems. Since they direct physical processes, such as machinery, industrial equipment, and automated operations, they are particularly sensitive targets. As the FBI has warned, systems with exposure to the internet or inadequate segmentation from other networks are at increased risk of exploitation. 

The vulnerability of devices with default or weak authentication mechanisms increases the importance of limiting external access and securing remote connections. There has been an observation of activity involving multiple Siemens S7 product lines, including S7-200, S7-300, S7-400, S7-1200, and S7-1500. This range includes both standard CPU variants as well as F-series safety controllers, as found in the S7-1500 series. 

A Python-based script, which is designed to interface with Siemens PLCs, is also used as part of the activity, using open-source industrial automation libraries such as python-snap7. S7comm protocol allows access to PLC memory, configuration information, and ladder logic through tooling that can resemble legitimate monitoring utilities.

A comprehensive inventory of Siemens S7 PLC deployments has been recommended, along with a critical security update installation and verification that PLCs cannot be directly accessed from the internet. A number of additional measures have been recommended to detect suspicious activity, including stronger access controls, network segmentation, multifactor authentication for remote access, as well as continuous monitoring. 

Using Artificial Intelligence (AI), attack tools are becoming easier to develop and adapt, thus increasing the security risks associated with industrial control systems. In order to reduce the risks of disruption across critical infrastructure, it remains critical to secure exposed PLCs, strengthen access controls, and maintain effective network segmentation.

North Korean Hackers Target 1,640 Companies Across 57 Countries, Researcher Finds

 

North Korean hackers have been targeting the infrastructure and cryptocurrency wallets worldwide. Greek security expert Vangelis Stykas identified 1,640 organizations across 57 countries hit by the attack. His investigation, which gained unauthorized access to the networks run by North Korean hackers, took about 22 months. 

At the Black Hat conference in Las Vegas, Stykas spoke about the attacks, mentioning that around 700 to 800 companies out of 1,640 had fallen victim to “truly malicious” intrusion. In some cases, the servers and AWS accounts were compromised at the root level by state-sponsored groups. Stykas did not disclose how he managed to infiltrate the North Korean hacking groups. He noted that his computer might have been infected with the group’s malware since their computers were infected. 

The security analyst had access to Slack and Discord accounts controlled by the hackers and gathered five terabytes of data. Lazarus Group complex, one of the North Korean state-sponsored hacking groups, has been using encrypted messaging services like Telegram and Signal to coordinate crypto heists and money laundering schemes. According to the report by Chainalysis, which monitors illicit crypto transactions, North Korean hackers have generated more than $2.02 billion in 2025, a 51 percent increase from the previous year. 

Their cumulative cryptocurrency theft since 2017 reached about $6.75 billion in value through crypto heists. Moreover, 76% of crypto heists worldwide occurred in the first four months of 2026, with North Korean-sponsored groups being the masterminds behind these crimes. The groups are also changing their tactics, shifting from compromised encryption keys to social engineering to infiltrate new crypto exchanges. Stykas added that toward the end of 2024, attackers primarily used social engineering to convince victims to install malicious software on their computers by posing as recruiters offering high-paying IT jobs. 

The software would allow hackers to access the victims’ computers under the guise of testing their skills. The list of companies targeted by North Korean hackers includes Chinese smartphone manufacturer Oppo, Boston’s Children Hospital, tech firms in Japan, Italy’s judicial organizations, and Belgium’s Flemish government. Several of the organizations, including Flemish government agencies and Boston’s Children Hospital, noted that the breach originated from third-party contractors, and the damage was minimal. 

Moreover, Stykas added that many of his warnings went unheeded by the organizations that had fallen victim to the attacks. His research revealed that many organizations are using third-party contractors and service providers that operate as subcontractors for different firms. A single compromised third-party organization can lead to a security breach of multiple organizations. 

North Korean hackers not only target crypto wallets but also use their IT expertise to infiltrate organizations and exfiltrate data. Experts believe that North Korea continues to fund its nuclear program from the proceeds of these crimes.  Moreover, hackers pose as legitimate IT professionals offering their services on job boards, eventually getting hired and transferring the earnings to North Korean banks. Authorities believe North Korean hackers’ activities are designed to circumvent sanctions imposed on the country. 

According to experts, the infiltration of crypto exchanges, technology companies, and financial organizations will enable North Korea to bypass sanctions while funding its military expansion and nuclear program. Andariel hacker group, which targets defense and nuclear-related organizations, was dismantled by security agencies in 2024.

Loud Phone Use is Becoming A New Battleground for Public-space Etiquette

 




For commuters, a journey on public transport can now come with an unexpected soundtrack: someone else's smartphone.

A passenger watching videos without headphones, streaming music through a phone speaker or taking a call on loudspeaker turns what should be a private activity into something everyone nearby can hear. The habit has acquired names including “loudcasting” and “sodcasting”, and growing public frustration is prompting transport authorities, politicians and businesses to reconsider how phone use should fit into shared spaces.

Ofcom's 2022 research found that 46% of people had watched videos without headphones in public, while 45% had made video calls and 36% had listened to music without them. The behaviour was particularly common among teenagers. Among 13-to-17-year-olds, 83% considered watching videos without headphones acceptable, compared with 21% of people aged 55 and above. At the same time, eight in 10 people said loudcasting annoyed them.

Newer polling suggests the irritation has persisted. A 2025 YouGov survey found that 79% of Britons were bothered by people playing music or videos through phone speakers, including 41% who said they were bothered "a great deal".

The divide is therefore not simply about whether people use their phones loudly. It is also about what different generations consider acceptable behaviour in public.


Why do people loudcast?

Researchers studying technology and behaviour argue that loudcasting can serve purposes beyond simple disregard for others.

For younger people, smartphones are often social devices. Friends travelling together may watch content, listen to music or make video calls collectively. Playing something aloud can also become a form of self-expression, allowing users to display their musical or entertainment preferences to people around them.

This helps explain why the behaviour can appear perfectly ordinary to one passenger and deeply irritating to another.

The phenomenon itself is not entirely new. Previous technologies, from portable radios to boomboxes, generated similar arguments about noise in shared environments. Even early mobile-phone users could attract disapproving looks for speaking on their devices in public.

What has changed is the scale of what a smartphone can deliver. A single device can now stream video, music, social-media content and live conversations almost anywhere.

Faster mobile networks and increasingly accessible data have made consuming that content while travelling easier, reducing the practical barriers that once encouraged people to wait until they reached a private space.


Why does phone audio feel so intrusive?

The irritation may also have less to do with volume than with context.

Researchers who study soundscapes distinguish between noises people expect to hear in particular environments and sounds that appear out of place. Passengers generally expect the noise of engines, brakes and railway tracks on public transport, allowing them to become accustomed to those sounds.

A stranger's conversation or video is different. It contains information that the brain may automatically try to process, while unpredictable changes between speech, music and video clips repeatedly attract attention.

The result is that a relatively quiet smartphone can sometimes feel more disruptive than a louder but predictable background noise.

The Covid-19 lockdowns may have complicated those social expectations further. People spent prolonged periods consuming media and communicating from home, where they did not have to negotiate the same public-space etiquette. Some researchers argue that certain habits may have followed people back into shared environments.


Should loudcasting be punished?

The debate has increasingly moved from social etiquette into policy.

Transport for London has repeatedly encouraged passengers to use headphones, while its earlier research found loud mobile conversations and audible headphone music were already among the most commonly witnessed forms of inconsiderate behaviour.

The Liberal Democrats have called for tougher penalties, including fines of up to £1,000, while a 2025 YouGov poll found that 62% of Britons supported fines for playing music or videos aloud on public transport.

However, Britain already has legal mechanisms for dealing with disruptive noise. Railway byelaws prohibit behaviour that interferes with other passengers' comfort or convenience and restrict sound-producing equipment when it causes annoyance. Updated railway byelaws came into force in 2025.

The Bus Services Act 2025 has also expanded the powers available to local transport authorities to create and enforce passenger-behaviour byelaws.

Businesses are beginning to establish their own rules as well. In August 2026, Wetherspoons introduced a policy across its 792 UK pubs prohibiting customers from playing music or taking calls through phone loudspeakers, following complaints about disruptive noise.


A global problem with different social rules

The dispute is not uniquely British.

Countries differ considerably in how strongly public spaces are governed by expectations of quiet. Japan, for example, has strict social norms around phone use on public transport, while other more individualistic societies may tolerate louder personal behaviour.

Ofcom's research also found differences in loudcasting behaviour between ethnic groups, but negative reactions remained high across all groups, suggesting that the behaviour cannot be explained simply through ethnicity. Age, social context, cultural expectations and individual technology habits are likely to intersect.

The central question is therefore not whether smartphones will continue producing sound in public. They almost certainly will.

The question is whether society will continue treating that sound as a breach of etiquette, introduce stronger rules to control it, or gradually become so accustomed to it that another person's phone becomes just another part of the public soundscape.

Here's Why Skipping Windows Updates Puts Your PC at Risk

 

Skipping Windows updates may seem harmless, especially when an update requires a restart or temporarily changes familiar settings. Many users postpone updates because they fear slower performance, bugs, or interruptions during work. However, Windows updates are not limited to new features and interface changes. They also contain important security patches that repair weaknesses discovered by Microsoft, cybersecurity researchers, customers, and attackers. When these updates are ignored, a computer can remain exposed to vulnerabilities that criminals already understand how to exploit. 

Once Microsoft releases a patch, attackers can study it to identify the weakness it fixes. They can then search for computers that have not installed the update and target them with malware or other attacks. An unpatched Windows system may face threats such as remote code execution, privilege escalation, ransomware, credential theft, and boot-level compromise. These attacks do not always produce immediate warning signs. A computer may appear to work normally while malicious software quietly steals information, monitors activity, or prepares a larger attack. 

PrintNightmare, identified as CVE-2021-34527, demonstrates how quickly a Windows vulnerability can become dangerous. After public proof-of-concept exploits began circulating in 2021, Microsoft issued emergency updates because exploitation had already been detected. Users who delayed installing the fixes increased the risk that attackers could gain control through the Windows Print Spooler service. The incident showed that waiting for a convenient time to update can be risky when details about a vulnerability and its exploit are already publicly available. 

The WannaCry ransomware outbreak provides an even more dramatic example. Microsoft had released a patch for the exploited SMB vulnerability in March 2017, but many organizations and individuals had not installed it or were still using older, unsupported Windows versions. When WannaCry spread in May, it affected more than 300,000 computers across 150 countries, disrupting hospitals, factories, businesses, and other services. The outbreak proved that a single neglected update can allow malware to spread rapidly across connected networks. 

The safest approach is to install Windows updates as soon as practical, while choosing an appropriate time for the restart. Users should also maintain backups, use reputable security software, and avoid keeping unsupported Windows versions connected directly to the internet. Although updates can occasionally cause inconvenience, a short installation and reboot are usually far less costly than recovering from ransomware, stolen credentials, or a compromised system. Keeping Windows updated is therefore one of the simplest and most effective ways to reduce everyday cybersecurity risks.

AI Proves Decades-Old Math Problems With Machine-Checkable Results

 

The cost of generating new results on some of mathematics’ long-standing open problems has dropped dramatically, with OpenAI claiming that its Astra model produced machine-checkable proofs for 10 questions that had remained unresolved for at least a decade.

OpenAI published the research on August 1, using the name Astra for its next major model family. The work spans several areas of advanced mathematics, including group theory, high-dimensional geometry, coding theory, quantum complexity, lattice cryptography and extremal combinatorics.

The research was released as a 249-page collection of manuscripts, accompanied by machine-checkable certificates for each of the 10 results. The problems were not routine mathematical exercises: several had remained open for decades and were regarded as significant questions within their respective fields.

Among the reported breakthroughs are a construction demonstrating the existence of non-sofic groups, a disproof of Connes's rigidity conjecture in the theory of von Neumann algebras, and an improved general upper bound for sphere-packing density in high dimensions. The latter improves upon a bound that had remained in place since 1978.

Three of the problems also came from the extensive collection of unsolved questions associated with mathematician Paul Erdős.

The announcement builds on a result reported in May, when the same model family was said to have disproved the Erdős unit distance conjecture, an 80-year-old problem in discrete geometry that had resisted sustained efforts since 1946. Fields Medalist Tim Gowers said he would have recommended the proof for publication in a leading mathematics journal without hesitation. A group of nine mathematicians, including Gowers and Noga Alon, subsequently published a companion paper presenting the proof in a more accessible form for human mathematicians.

Thomas Bloom, who maintains the ErdÅ‘s problem catalogue, described the August results as “big news” and said they were even more significant than the earlier unit distance result. OpenAI researcher Noam Brown offered a more cautious assessment: “Sadly, no Millennium Prize Problems (yet).”

Machine Verification Changes the Equation

AI research announcements have frequently faced questions over whether reported achievements can be independently evaluated. Benchmarks can be influenced by training data, demonstrations can be selectively presented, and external researchers may have limited ways to reproduce proprietary results.

Astra's mathematical work takes a different approach because the reported proofs were formalized using Lean, a proof assistant designed to verify mathematical arguments step by step. OpenAI also released the certificate files on GitHub under an open license, allowing researchers to download them and run the verification process themselves.

If an individual step does not logically follow from what came before it, the checker rejects the proof. The process therefore does not depend on trusting the organization that produced the result or on subjective interpretation of the argument.

Traditionally, a major mathematical proof goes through peer review, with human experts potentially spending months examining its reasoning before the wider community accepts the result. Machine verification can dramatically shorten the technical verification stage, allowing the validity of a formalized argument to be checked almost immediately.

That distinction makes the Astra announcement different from a conventional AI benchmark. A machine-verified proof can be independently checked even when the underlying model itself is not publicly available.

Questions Around the $2,000 Figure

There are, however, important limitations to the claims.

The selection of the 10 problems was controlled by OpenAI, meaning the published results may not represent the full range of problems the model attempted. The reported $2,000 figure also relates to the successful results rather than the total cost of all experimentation, making it more accurately a measure of the cost of producing the published results than the complete cost of mathematical discovery.

OpenAI researchers also participated in preparing the papers and formalizing the arguments, while the company maintains that Astra generated the mathematical content. Because Astra itself is not available to external researchers, independent reproduction of the model's discovery process is not currently possible.

AI critic Gary Marcus described the release as impressive but substantially oversold. Some mathematicians have also suggested that further scrutiny could reveal that only a portion of the 10 problems represent genuinely unexpected breakthroughs, while others may prove to have been problems that were technically approachable but had not yet received the necessary attention.

Even with those qualifications, one feature remains significant: the results can be mechanically verified. Whether or not the problem selection was optimized for success, a result accompanied by a formal certificate is fundamentally different from an AI-generated claim that cannot be independently checked.

Why Verification Could Matter Beyond Mathematics

The larger implication may extend well beyond mathematical research.

AI systems can generate large quantities of content and technical output, but organizations often struggle to validate that output at the same scale. Human review may work for a handful of documents or analyses, but it becomes increasingly impractical as AI-generated output grows.

Some industries have already addressed this challenge by building automated verification into their workflows.

Chip design is a prominent example. Formal verification systems can mathematically establish whether a circuit meets its specifications, providing an automated layer of assurance that existed well before generative AI became widely used.

At Computex in May, Cadence said it had expanded its design agent toward full autonomy. The system reportedly runs hundreds of simulations through the company's Jasper formal verification engine, reducing a validation cycle that previously took around five weeks to less than a day. Synopsys offers a similar category of technology through VC Formal, which uses static analysis to verify designs rather than relying solely on individual test cases.

The economics are straightforward: when a machine-generated answer can be checked automatically and inexpensively, mistakes become far easier to detect and correct.

The same principle applies to areas such as cryptography, safety-critical software and hardware verification, where formal proof or automated checking is already part of the development process.

As AI systems become capable of generating increasingly sophisticated output, the ability to verify that output may become more important than the ability to generate it.

The central shift is therefore not simply that AI can produce difficult answers more cheaply. It is that the bottleneck is moving from generating an answer to proving that the answer is correct.

Phishing-as-a-Service Is Turning Credential Theft Into a Scalable Cybercrime Business

 


Phishing is no longer limited to technically skilled criminals building fraudulent campaigns from scratch. Through phishing-as-a-service (PhaaS), attackers can rent ready-made infrastructure and tools that allow them to impersonate trusted organisations, harvest credentials and target victims at scale.

Phishing attacks use social engineering to persuade victims to surrender sensitive information. The lure can arrive through an email, text message, phone call, QR code, fake website or malicious application, often impersonating a bank, employer, delivery company or another trusted entity. Stolen passwords, financial details and authentication information can then be used for account takeovers, fraud, identity theft or further attacks.

The emergence of PhaaS has made this process considerably easier.


PhaaS lowers the barrier for cybercriminals

Instead of developing an operation independently, criminals can purchase packages containing fake login pages, legitimate-looking email templates, phishing-site hosting, target lists and setup instructions. Some providers also offer technical assistance and campaign-management capabilities.

The model mirrors legitimate software-as-a-service businesses, except the product is designed to facilitate cybercrime. Microsoft describes the wider cybercrime-as-a-service economy as increasingly commercialised, with specialised services allowing criminals to outsource different parts of an attack.

This creates a multiplier effect. Criminals with limited technical expertise can deploy infrastructure developed by more experienced operators, allowing phishing campaigns to reach far more people than a small group of skilled attackers could target independently.

The threat is therefore not simply that individual phishing messages are becoming more convincing. It is that the number of people capable of launching campaigns is increasing.


PhaaS is evolving beyond password theft

Modern phishing services can also target authentication sessions rather than simply collecting usernames and passwords.

Adversary-in-the-middle attacks, for example, place attacker-controlled infrastructure between a victim and the legitimate authentication service. The victim may still complete the expected login and MFA process, while the attacker attempts to capture authentication information or session tokens that can later be used to access the account.

Microsoft has documented phishing campaigns in which attackers captured tokens generated during legitimate authentication, demonstrating why stolen credentials are not the only concern.

The scale of these operations was illustrated in March 2026 when authorities disrupted Tycoon 2FA, a PhaaS platform that facilitated phishing attacks against nearly 100,000 organisations. Europol said the service generated tens of millions of phishing emails each month and, by mid-2025, accounted for roughly 62% of phishing attempts blocked by Microsoft.


AI is making familiar warning signs less reliable

Artificial intelligence is adding another advantage for attackers by making social-engineering content faster and easier to produce.

Poor grammar and spelling mistakes were once common indicators of phishing. Generative AI can now produce polished messages in seconds, allowing criminals to create more convincing communications and adapt them to different targets. Microsoft has reported that cybercriminals are using AI to automate phishing and generate synthetic content.

Users therefore need to focus less on whether a message is grammatically correct and more on what it is asking them to do.

Unexpected requests for passwords, payment information, verification codes or urgent account actions should be independently verified. Links should be inspected before opening, while sensitive websites are safer to access directly rather than through unsolicited messages. Unexpected attachments should also be treated cautiously.


Defence must account for stolen credentials

Basic security practices remain important, but organisations should also assume that phishing attempts will occasionally succeed.

Unique passwords stored in a password manager can limit the damage caused by credential reuse, while multifactor authentication adds another layer of protection. However, phishing-resistant authentication such as passkeys and FIDO-based methods provides stronger protection against attacks designed to capture authentication information.

Microsoft says phishing-resistant MFA can stop more than 99% of attacks of this type even when attackers possess the password.

Organisations should also monitor unusual account activity, remove unnecessary accounts and minimise user privileges so that compromised credentials do not automatically provide extensive access.

PhaaS has therefore changed more than the technical mechanics of phishing. It has changed who can conduct these attacks and how easily they can be scaled. As criminal infrastructure becomes increasingly commercialised and AI reduces the effort required to produce convincing lures, defending against phishing can no longer depend solely on recognising suspicious messages.

The stronger strategy is to combine user awareness with authentication and access controls designed to limit what happens when a phishing attempt succeeds.

Malware Attacks Google-Synced Passkeys

 

Security researchers have uncovered three attack techniques that could allow malware on compromised Windows computers to abuse passkeys synchronized through Google Password Manager. The attacks, collectively called “Pass-ta-key,” target Chrome devices equipped with a Trusted Platform Module (TPM). Rather than breaking the cryptography behind passkeys, the techniques exploit weaknesses in device registration, recovery, user verification, and cloud synchronization. 

Passkeys are widely considered safer than passwords because they cannot be guessed, reused, or easily stolen through phishing. They normally rely on a device-based cryptographic key and may require a PIN, fingerprint, or facial recognition to approve a login. However, Unit 42 researchers found that malware already running on a victim’s computer could manipulate Chrome’s trusted-device mechanisms without requiring administrator privileges or direct user interaction. 

The first technique, Pass-ta-key, abuses Chrome’s TPM-backed device identity key to make Google’s cloud authenticator believe that a request came from the legitimate computer. The service may then return a valid authentication assertion that attackers can use to access a protected account, even without biometric or PIN verification. This attack failed against GitHub because the platform correctly checked the WebAuthn user-verification flag, but it succeeded against eBay before the company fixed the validation issue. 

The second method, Silver Pass-ta-key, enables attackers to register their own verification key during a forced Chrome re-registration process. Malware can invalidate the existing verification state or delete local passkey-related data, allowing the attacker-controlled key to be accepted as proof that the device was unlocked by its owner. The most serious technique, Golden Pass-ta-key, attempts to extract Google Password Manager’s Security Domain Secret from Chrome’s memory. This master key encrypts synchronized passkey records, so stealing it could allow attackers to recover private keys and impersonate the victim from another device. 

Unit 42 said the stolen secret could potentially decrypt both existing and future passkeys because Google’s current implementation reportedly does not provide a method to rotate or revoke it. The findings highlight that passkeys remain resistant to phishing but cannot fully protect accounts when malware controls a trusted device or browser process. Websites should strictly validate user-verification signals, while credential managers should strengthen device enrollment, recovery, re-registration, and protection of encryption keys in memory. Google was notified of the research, although a complete public response or confirmation of remediation was not immediately available.

BTMOB Android RAT Ecosystem Expands With Resellers, Source-Code Sellers and Impersonators

 

The Android remote access trojan known as BTMOB most likely began as a centralized malware-as-a-service operation but transformed into a wider ecosystem, with resellers, source code buyers, rogue operators, and possibly even impersonators, according to the Flare researchers. BTMOB is a remote access trojan for Android devices that takes the form of malware-as-a-service.

It offers an “exploit chain,” that is, a malicious application, droppers, a payload builder, a Windows operator panel, servers, and phishing and credential-stealing tools. All of the components may be purchased in various combinations, depending on the chosen subscription plan. Some of the options include private infrastructure, customized builds, and technical support. The Flare researchers analyzed thousands of relevant forum and chat threads to document BTMOB’s activity and distribution channels. 

They tracked the malware’s progress from its first appearances in mid-2025 to the present day. In their findings, the researchers observed that while an official channel was distributing the service and its components, other purportedly independent channels and forums sold subscriptions, reseller panels, code, and even alternative versions of the malware under the same name. In particular, the official account announced the V2 of the malware for rent or sale for $700 per month, $3,000 for a lifetime subscription or $5,000 with additional monthly payments for the private infrastructure and support. Less than a month later, the same account announced technical issues and claimed that over 4,000 devices were connected to BTMOB’s servers. 

According to the researchers, the account advertised a full source code and setup instructions for BTMOB for $20,000. The package included PHP and Node.js server components, a VB.NET control panel and Java Android code. The advertised source-code price later fell to $10,000 in May 2025. Additionally, they noticed that the Spanish/Portuguese Telegram channel had an issue between two admins, one of whom left the project. The main channel then announced that from now on, all the administrators would function independently. 

It also stated that one of them, based in Brazil, had bought the source code and was running his own fork of BTMOB. After that, the secondary market appeared and started advertising much cheaper alternatives to the official subscription. In particular, one Telegram campaign announced the lifetime access to version 4.1.2 and 4.2 of BTMOB for $500 and purported RAT and server source code for $1,500. Other channels and forums also offered subscriptions, reseller panels, source code, and lifetime accounts for different prices and conditions.  

It is unclear whether the accounts offering the alternative versions of BTMOB are legitimate or not, as many of them could have used pirated materials or have been scams. For example, the official account warned all their partners that there is only one official BTMOB channel and that other accounts do not represent the company and are not affiliated with it. 

Nevertheless, the official account advertised the V4.1 release in February 2026 and V4.5 in April 2026. According to the announcement, the subscription for the private server hosting of several accounts costs about $1,200 lifetime account, a $3,000, and the source code for the server itself costs $7,000.

Coldcard Bitcoin Wallets Hit by Ongoing Attack Exploiting Key Generation Flaw


A software flaw in Coldcard hardware wallets has raised fresh concerns about the security of offline cryptocurrency storage after a software flaw in Coldcard hardware wallets allowed attackers to drain millions of dollars in Bitcoin.The attack has affected thousands of wallets using Coinkite’s Coldcard devices. 

By August 3, about 1,367 Bitcoin worth US$86 million had been stolen from more than 4,500 wallets by August 3. Cold wallets are widely considered among the most secure ways to store cryptocurrency, as they keep private keys away from internet-connected devices. The Coldcard incident shows,offline storage cannot protect funds if there is a weakness in the process by which cryptographic keys are generated. 

Predictable Seed Phrases Exposed Bitcoin Wallets

The problem centers on how Coldcard devices generated the seed phrases used to recover wallets that will be used to recover and control a Bitcoin wallet in the central issue. A flaw in Coldcard's random-number generation process could produce predictable values instead of sufficiently random keys, according to a Block's engineering team analysis. Coldcard devices included a fallback mechanism based on deterministic information, including serial numbers. 

The flaw allowed attackers to calculate vulnerable wallet keys and move the funds. The losses quickly mounted over the following days. According to initial reports, the loss amount on July 31 was approximately US$38 million, however within days, the amount had more than doubled. 

Initially, Jonathan Goodman believed all three of his wallets would not be affected after checking. However, he discovered that all three had been emptied within minutes of one another on July 29. 

Coinkite Releases Fixed Firmware

Bitcoins controlled by seed phrases generated through affected firmware may be at risk, as confirmed by Coinkite. The flaw has also renewed scrutiny of hardware wallet security, regarding the assumptions surrounding hardware wallets, Coinkite has since released fixed firmware for the affected models and release tracks. 

Although offline access eliminates many Internet-based attack routes, it does not eliminate vulnerabilities in the hardware, firmware, or cryptographic processes required to create those keys. The incident also shows that keeping a wallet offline does not remove every security risk. Despite being physically disconnected from the internet, a wallet may still be vulnerable if its cryptographic keys can be predicted or reconstructed. 

Cold Storage Does Not Eliminate Cryptocurrency Risk

The Coldcard attack comes as cryptocurrency theft continues to cause major losses across the industry. Approximately US972 million of cryptocurrency were stolen during the first half of 2026, substantially lower than the US2.3 billion stolen during the same period in 2025, according to TRM Labs. A total of 207 hacking incidents were recorded during the first six months of 2026, the highest total in the firm's history. 

A TRM Labs report indicates that infrastructure and key compromises account for approximately 15 percent of incidents, yet 76 percent of losses were caused by them. The incident highlights a basic problem with self-custody that self-custody self-custody does not eliminate the risk of losing funds. Hardware wallets can greatly reduce online threat exposure. Their security still depends on how reliably the device generates and protects private keys. 

Affected users should check whether their wallet seeds were generated with vulnerable firmware and follow Coinkite’s guidance that their wallet seeds were generated using vulnerable firmware and follow the manufacturer's remediation instructions.The Coldcard incident shows that keeping a hardware wallet offline is only one part of cryptocurrency security. The software and cryptographic processes used to generate its keys can be just as critical.

Launching a Consulting Business? It’s Time to Get Some Skin in the Game

 



Starting a consulting business can look deceptively simple. You have expertise, you know there are businesses that need it, and unlike a product company, you do not need a warehouse full of inventory before you can start selling.

But turning expertise into a functioning consulting business is another matter.

There is a point when consulting stops being an idea and becomes a business.

It is usually somewhere between sending the first proposal and realizing that knowing how to solve a client's problem is only one part of the job. The founder now has to find the right customers, decide what the work is worth, manage contracts and finances, build a reputation and keep the pipeline moving, often while delivering the work alone.

That makes the first 90 days particularly crucial.

For a new consulting firm, those months are not simply about landing the first client. They are a testing period for the entire business model. Who actually needs the service? What are they willing to pay? Which prospects are worth pursuing? How should projects be priced? And can the founder deliver the work efficiently without creating an operation that collapses as soon as demand increases?

Market research is one of the earliest safeguards. The U.S. Small Business Administration recommends examining demand, market size, competition, economic conditions and the prices customers already pay before committing to a business idea. Competitive analysis can then help a company identify where it can establish an advantage.

For consultants, that process starts with getting specific.


Know exactly what you are selling

"Consulting" is not a niche.

A prospective client needs to understand what expertise is being offered, what problem it addresses and why this particular consultant is equipped to solve it.

That is why specialization can matter so much during the early stages. A consultant who focuses on regulatory compliance for fintech companies, for example, enters the market with a much clearer proposition than one advertising a general ability to "help businesses grow."

A narrow focus also makes research easier. The founder can identify competitors, understand the language customers use to describe their problems and determine whether there is enough demand to support the business.

The goal is not to permanently lock the consultancy into one category. It is to give the market a clear reason to remember it.

The same attention should go to the business name before significant money is spent on branding. Founders should check whether the name is already being used, whether an appropriate domain is available and whether matching social-media accounts can be secured. Legal and trademark availability should also be checked in the relevant jurisdiction.

A polished identity built around a name that cannot be used is an expensive problem to discover after launch.


Your first clients may already know you

A new consultant's first sales pipeline may be much closer than expected.

Former colleagues, previous clients, mentors and professional contacts can become referral sources, particularly when they understand exactly what the new business does.

Consulting Success has reported that 60% of consultants get their first client through referrals from their existing network.

That figure should not be treated as a promise that networking will automatically produce business. It does, however, point to an important reality for new consultants: relationships can be an early commercial asset.

The first 90 days should therefore include deliberate outreach. Reconnect with former colleagues. Tell people what service you are offering. Attend relevant industry events. Join professional or business-owner groups. Speak to people who understand the market you are trying to enter.

The objective is not to turn every conversation into a sales pitch.

It is to make sure that when someone in your network encounters the problem you solve, they know who to call.

Keeping track of these relationships can help, too. A basic customer relationship management system or even a structured contact database can record conversations, potential opportunities and follow-up dates. Networking becomes considerably more useful when it is treated as an ongoing business process rather than a collection of business cards.


Pricing your expertise is harder than selling it

The first proposal can create an uncomfortable question for almost every new consultant: What should this actually cost?

There is no single answer.

Some consultants charge by the hour. Others set a fixed fee for a defined project. Retainers can provide recurring revenue for continuing advisory work, while value-based pricing attempts to connect the fee to the business outcome being created rather than the number of hours spent producing it.

Each approach carries a different risk.

Hourly pricing is relatively straightforward, particularly when the scope of a project is uncertain. Fixed-fee work gives clients greater predictability, but the consultant can lose money if the project expands beyond the assumptions used to calculate the fee. Retainers can create more predictable revenue but require a clear understanding of what ongoing access or services the client is actually receiving.

Value-based pricing can potentially capture more of the economic value created for a client, but it is harder to establish when a new consultancy has limited evidence of its results.

The important thing is not to choose a pricing model simply because another consulting firm uses it.

New founders should track how much time projects actually consume, including meetings, revisions, administration and unpaid communication. They should also account for software, professional services, taxes and other operating expenses.

The SBA recommends calculating startup costs and using break-even analysis to understand how pricing, costs and sales volume interact.

That turns pricing from a guess into a business calculation.

And the model does not have to remain fixed. As a consultancy gains experience, it can adjust its pricing based on the type of work clients value most and the economics of delivering it.


Not every potential client is a real prospect

A large prospect list can look impressive while contributing very little to revenue.

Consultants need to distinguish between companies that could theoretically benefit from their expertise and companies that are actually positioned to buy it.

That means asking whether the organization has the problem, whether the problem is urgent, whether it has a budget, who makes the purchasing decision and whether the consultant has a credible route into the organization.

Financial and business research can make that process more informed.

For U.S. public companies, the SEC's EDGAR system provides access to company filings that can reveal information about financial performance, operations, risks and other corporate developments.

Private companies require different sources of information, including company websites, industry publications, professional networks and available business databases.

The objective is not to conduct an exhaustive investigation of every lead. It is to avoid spending valuable time chasing prospects that are unlikely to become paying clients.

For a solo consultant, that distinction can directly affect revenue. Time spent pursuing an unsuitable prospect is time that cannot be spent delivering client work, improving an offer or finding a better-qualified lead.


The tools behind the expertise matter too

Consulting is often presented as a knowledge business, but much of the actual work happens inside ordinary productivity software.

Spreadsheets, presentations, project-management platforms, customer relationship systems and document-management tools can become part of a consultant's daily workflow.

Management Consulted COO Namaan Mian has said consultants can spend around 80% of their day working in Excel and PowerPoint.

The exact proportion will vary considerably between consulting disciplines, but the underlying lesson is useful. A consultant who is excellent at strategy but inefficient at turning analysis into a financial model, presentation or client deliverable can lose considerable time.

Technology also introduces a responsibility that is easy for new consultants to overlook.

Clients may hand an independent consultant confidential business strategies, financial records, employee information, intellectual property or customer data. Secure authentication, controlled access, encrypted storage where appropriate, reliable backups and careful file-sharing practices therefore belong in the business plan from the beginning.

For a technology or cybersecurity consultant, that expectation is even higher. The consultant's own security practices become part of their credibility.


Do not try to be the lawyer and accountant too

Running a consultancy independently does not mean every business function needs to stay with the founder.

Legal and accounting professionals can help establish the structures that allow the consultant to concentrate on client work.

The right business structure can affect taxation, paperwork and personal liability, while contracts can determine how payment, confidentiality, intellectual property and responsibilities are handled between the consultant and client. The SBA recommends considering these structural questions when setting up a business and notes that professional advisers can help with the process.

An accountant can also help establish bookkeeping practices and make sure income and expenses are being tracked properly.

These advisers do not necessarily need to be permanent employees. For a small consultancy, external professionals can often provide support when specific legal or financial questions arise.

What matters is establishing those relationships before a problem forces the issue.


Build accountability into the business

There is one final problem unique to many solo consultants: nobody else is waiting for the work to get done.

The founder may have promised to follow up with prospects, update the website, send invoices, improve a presentation, review finances and develop a new service. Then a client deadline arrives and everything else moves down the list.

An accountability partner can provide a simple counterweight.

That person could be a former colleague, mentor, fellow entrepreneur or another professional encountered through an industry association or business group. A short weekly conversation can be enough to review what was completed, what was missed and what needs to happen next.

The point is not necessarily to find another person who has all the answers.

It is to create a system in which the founder has to answer to someone besides themselves.


The first 90 days are where the business gets tested

A new consultancy does not become sustainable simply because its founder is good at what they do.

Expertise gets the business into the room. Everything else determines whether it can stay there.

The first three months should therefore be used to test the market, sharpen the niche, build relationships, qualify prospects, experiment with pricing and establish the systems needed to deliver work consistently.

That includes the less glamorous work: checking the business name, setting up financial records, understanding legal obligations, learning the software that will be used every day and protecting client information.

The U.S. Small Business Administration describes a business plan as a roadmap for structuring, operating and growing a company, while its startup-cost guidance encourages founders to understand expenses and break-even points before making financial decisions.

For a consultant, the first 90 days can serve the same purpose in practice.

By the end of them, the founder should have more than a website and a client list. They should have evidence about which customers are worth pursuing, which services generate demand, what those services cost to deliver and what the business needs to operate without constantly running on improvisation.

That is the real moment when a consultant gets skin in the game.

The expertise may have been there for years.

Now there is a business behind it.