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Salesforce Unveils AI-Powered Slack Overhaul with 30 Game-Changing Features

  Salesforce has unveiled a transformative AI overhaul for its Slack platform, introducing 30 new features designed to elevate it from a mer...

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Windows 11 Faces Rising Threats from AI Malware and Critical Security Flaws

 

Pressure on Windows 11 security grows - driven by emerging AI-powered malware alongside unpatched flaws threatening companies and everyday users alike. The pace of change in digital threats becomes clearer through recent incidents, especially within large organizational networks. DeepLoad sits at the heart of recent cybersecurity worries. This particular threat skips typical download tactics altogether. 

Instead of dropping files, it operates without any - earning its "fileless" label. Users themselves become part of the breach process. By following deceptive prompts, they run benign-looking instructions in system utilities such as Command Prompt. Once executed, those inputs quietly trigger malicious activity behind the scenes. Since nothing gets written to disk, standard virus scanners often miss what's happening. 

Detection becomes difficult when there’s no file footprint to flag. After running, the malware stays active by embedding itself into system processes while reaching out to remote servers through standard Windows tools. Because it targets confidential information like passwords, its presence poses serious risks inside business environments. What makes it harder to detect is how it blends malicious activity with normal operating routines. Security teams may overlook it during routine checks due to this camouflage technique. 

Artificial intelligence makes existing threats more dangerous. Because AI-driven malware adjusts on the fly, it slips past standard detection systems. As a result, security tools struggle to keep up. With each change the malware makes, response times shrink. The gap between finding a flaw and facing an attack grows narrower by the hour. Meanwhile, security patches have been rolled out by Microsoft to fix numerous high-risk weaknesses. 

Affected are various business-focused builds of Windows 11 - both recent iterations and extended support variants. One major concern involves defects within the Routing and Remote Access Service (RRAS), where exploitation might let threat actors run harmful software from a distance. Full administrative access to compromised machines becomes possible through these gaps. Not just isolated systems feel the impact. 

That last Patch Tuesday, Microsoft fixed over eighty security gaps in its programs - problems hiding even inside tools such as Excel and Outlook. Opening an attachment wasn’t needed; sometimes, just looking at it could activate harmful code, showing how dangerous these weaknesses really are. Experts warn that even emerging AI tools, such as Microsoft Copilot, could introduce new risks if not properly secured, particularly when sensitive data is handled automatically. 

Though companies face the most attacks, regular individuals can still be affected. When new patches arrive, it helps to apply them without delay - timing often matters more than assumed. Opening unknown scripts carries risk; many breaches begin there. Unexpected requests, especially those demanding immediate steps, deserve extra skepticism. 

Change is shaping a new kind of digital danger - cleverer, slyer, built to exploit how people act just as much as system flaws. One moment it mimics trust; the next, it slips through unnoticed.

Hidden Android Malware Capable of Controlling Devices Raises Security Concerns


 

Smartphones have become increasingly important as repositories of identity, finances, and daily communications. The recent identification of a new Android malware strain, recently flagged by the National Cybercrime Threat Analytics Unit and ominously dubbed "God Mode", is indicative of a worrying escalation in mobile security threats. 

As opposed to conventional scams that employ visible deception or user interaction, this variant is designed to persist silently, enabling attackers to gain an unsettling degree of control without prompting immediate suspicion. 

The name of the program is not accidental; it reflects its ability to assume a wide range of permissions and surveillance capabilities once deployed, reducing users to the position of unaware bystanders.  It is noteworthy that this development coincides with an increase in sophisticated malware campaigns throughout India, where cybercriminals are increasingly utilizing the perception of legitimacy of digital services to exploit public trust, mimicking official government platforms. 

Often deployed through widely used messaging channels, these operations take advantage of urgency and limited verification by utilizing carefully orchestrated social engineering tactics, resulting in a seamless illusion of authenticity that has already led to widespread identity theft and financial fraud. In view of these concerns, researchers have identified a threat class that is more deeply ingrained into the Android operating system.

The Oblivion Remote Access Trojan, observed recently, signals the shift from surface-level compromise to systemic invasion. Based on reports, the malware is being distributed through subscription-based distribution models across a wide range of Android devices running versions 8 through 16 and is designed to operate across a broad range of devices.

Using Certo's analysis, it appears that the toolkit is not simply a standalone payload, but rather a structured package with a configurable builder that enables operators to create malicious applications that resemble legitimate applications. As a complement, a dropper mechanism was developed to mimic routine system update prompts, a tactic that blends seamlessly with user expectations and greatly increases the likelihood of execution. 

Kaspersky has found parallel evidence linking this activity to a strain they call "Keenadu," discovered during deeper investigations into firmware-level threats that resembled the earlier Triada threat. It is noteworthy that this variant is persistent: instead of being installed solely by the user, it has been observed embedded within the device firmware itself, indicating a compromise within the supply chain. 

The researchers claim that a tainted dependency introduced during firmware development enabled the malware to be integrated into the core system environment by allowing the malware to persist. Upon attachment to Android’s Zygote process, the malicious code replicates across all running applications on the device, resulting in widespread and difficult to detect control. Because affected devices may reach end users already compromised, manufacturers may be unaware of the intrusion prior to their products being distributed, which has significant consequences. 

There is a deceptively simple entry point into the infection chain associated with such threats: the link or application file is delivered via messaging platforms under the guise of legitimate notifications, often posing as bank alerts, service updates, or time-sensitive announcements. As soon as the application is executed, it strategically requests access to the Accessibility Service an Android feature intended to make the application more usable for people who are differently abled. 

A systemic abuse of this permission occurs in the context described above in order to establish extensive control over device operations. By gaining access to this level of access, the malware can monitor on-screen activity, intercept text communications, and perform autonomous user interactions. The ability to capture one-time passwords, navigate applications, and authorize transactions without explicit user awareness is included in this category. 

Most of the times observed, the initial payload is distributed via widely used communication channels such as instant messaging platforms as an APK file, where it appears as a routine application or system update via widely used communication channels. As a result of its outward appearance, the malware is often not suspected and is more likely to succeed during installation.

The malicious process embeds itself within the device and is designed to maintain persistence and stealth. By avoiding visibility within the standard application interface, the malicious process is evading casual detection while remaining silently operating in the background. The degree of risk introduced by this level of compromise is substantial. 

Through the malware's ability to access sensitive inputs, such as OTPs, personal messages, and contact databases, conventional authentication procedures are effectively bypassed. Further, by utilizing its ability to initiate or redirect calls, overlay fraudulent interfaces over legitimate banking applications, and simulate genuine user behavior, sophisticated financial exploitation and data exfiltration can be accomplished. 

Additionally, the threat is lowly visible; the lack of overt indicators, combined with its ability to avoid basic scrutiny, make it difficult for users to become aware of a breach until tangible damage has already occurred - financial or otherwise. Because the vulnerability does not uniformly impact all Android devices, assessing exposure becomes an important first step when confronted with this backdrop. 

According to current findings, the risk is primarily confined to smartphones equipped with MediaTek system-on-chip architectures, although devices that are powered by Qualcomm Snapdragon or Google Tensor are not affected. 

Users can verify their device's status by verifying its exact model in system settings and referencing its hardware specifications using manufacturer documentation. It becomes more urgent when the MediaTek chipset is identified to ensure that the latest security patches are applied as soon as possible. 

While a fix has been reportedly issued at the chipset level, its effectiveness is determined by the timely distribution by individual device manufacturers, making timely system updates a decisive factor in preventing exposures. A broader defensive posture requires a combination of technical safeguards and user discipline in addition to identification and patching. 

Security applications can not directly address firmware-level vulnerabilities, but they still play an important role in detecting secondary payloads, such as spyware or malicious applications, which may be deployed following a compromise. It is also important to minimize sensitive data stored locally on devices, particularly credentials, recovery keys, and financial information that could be accessed if access is obtained. Also highlighted in this case is the importance of physical security, as certain exploit vectors may require direct device access, which makes unattended or improperly handled devices potentially vulnerable. 

Additionally, complementary measures add essential layers of resistance against unauthorised activity, such as robust screen locks, shorter auto-lock intervals, and multi-factor authentication across critical accounts. In addition to reducing credential exposure, using encrypted password managers will help reduce device-level control capabilities, such as USB-restricted mode, when available, to limit data transfer capabilities while locked. 

As a result of these measures, the underlying vulnerability remains, however a layered security framework is established that significantly reduces the likelihood and impact of exploitation in the real world. As a result, these deeply embedded Android threats highlight a significant shift in the mobile security landscape, where risks are no longer restricted to user-level interactions, but extend to the underlying architecture of the device itself. 

With this evolving technology, users and manufacturers need to remain vigilant and informed, emphasizing proactive security hygiene, timely software maintenance, and carefully examining digital interactions. As threat actors continue to refine their methods, resilience will be determined by the development of layered, adaptive defense strategies that anticipate compromise and limit its impact, rather than a single safeguard.

Microsoft Releases AI Upgrades, Launches Copilot Cowork to Early Access Customers


In an effort to enhance its AI offering and increase adoption, Microsoft (MSFT.O) recently introduced new features in its Copilot research assistant that would enable users to employ various AI models concurrently within the same workflow.

Instead of relying on a single model, Copilot's Researcher agent can now pull outputs from both OpenAI's GPT and Anthropic's Claude models for each response, thanks to a new feature called "Critique."

According to Microsoft, Claude will check the quality and correctness of the response before GPT provides it to the user. In the future, the business hopes to make that workflow bidirectional so that GPT may also evaluate Claude's writings.

"Having different models from ​different vendors in Copilot is highly attractive - but we're taking this to the next level, where customers actually get the benefits of the models working together," Nicole Herskowitz, VP of Copilot and  Microsoft, said to Reuters. 

The multi-model strategy will assist in increasing productivity and quality for customers by accelerating user workflow, controlling AI hallucinations, which occur when systems give incorrect information, and producing more dependable outputs.

Additionally, Microsoft is introducing a feature called "Council" that will let users compare results from various AI models side by side. The updates coincide with Microsoft expanding access to its new Copilot Cowork agentic AI tool for members of its "Frontier" program, which gives users early access to some of its most recent AI innovations.

According to Jared Spataro, Microsoft's AI-at-Work efforts leader, “We work only in a cloud environment, and we work only on behalf of the user. So you know exactly what information it (Copilot Cowork) has access ​to.”

On Monday, the company's stock increased by almost 1%. However, as investor confidence in AI declines, the stock is poised for its worst quarter since the global financial crisis of 2008, with a nearly 25% decline.

Microsoft capitalized on the increasing demand for autonomous AI agents earlier this month by releasing Copilot Cowork, a solution based on Anthropic's popular Claude Cowork product, in testing mode.

In the face of fierce competition from rivals like Google (GOOGL.O), the new tab Gemini, and autonomous agents like Claude Cowork, the Windows manufacturer has been rushing to enhance its Copilot assistant to promote greater usage.

Quantum Computing Could Threaten Bitcoin Security Sooner Than Expected, Study Finds

 



New research suggests the cryptocurrency industry may have less time than anticipated to prepare for the risks posed by quantum computing, with potential implications for Bitcoin, Ethereum, and other major digital assets.

A whitepaper released on March 31 by researchers at Google indicates that breaking the cryptographic systems securing these networks may require fewer than 500,000 physical qubits on a superconducting quantum computer. This marks a sharp reduction from earlier estimates, which placed the requirement in the millions.

The study brings together contributors from both academia and industry, including Justin Drake of the Ethereum Foundation and Dan Boneh, alongside Google Quantum AI researchers led by Ryan Babbush and Hartmut Neven. The research was also shared with U.S. government agencies prior to publication, with input from organizations such as Coinbase and the Ethereum Foundation.

At present, no quantum system is capable of carrying out such an attack. Google’s most advanced processor, Willow, operates with 105 qubits. However, researchers warn that the gap between current hardware and attack-capable machines is narrowing. Drake has estimated at least a 10% probability that a quantum computer could extract a private key from a public key by 2032.

The concern centers on how cryptocurrencies are secured. Bitcoin relies on a mathematical problem known as the Elliptic Curve Discrete Logarithm Problem, which is considered practically unsolvable using classical computers. However, Peter Shor demonstrated that quantum algorithms could solve this problem far more efficiently, potentially allowing attackers to recover private keys, forge signatures, and access funds.

Importantly, this threat does not extend to Bitcoin mining, which relies on the SHA-256 algorithm. Experts suggest that using quantum computing to meaningfully disrupt mining remains decades away. Instead, the vulnerability lies in signature schemes such as ECDSA and Schnorr, both based on the secp256k1.

The research outlines three potential attack scenarios. “On-spend” attacks target transactions in progress, where an attacker could intercept a transaction, derive the private key, and submit a fraudulent replacement before confirmation. With Bitcoin’s average block time of 10 minutes, the study estimates such an attack could be executed in roughly nine minutes using optimized quantum systems, with parallel processing increasing success rates. Faster blockchains such as Ethereum and Solana offer narrower windows but are not entirely immune.

“At-rest” attacks focus on wallets with already exposed public keys, such as reused or inactive addresses, where attackers have significantly more time. A third category, “on-setup” attacks, involves exploiting protocol-level parameters. While Bitcoin appears resistant to this method, certain Ethereum features and privacy tools like Tornado Cash may face higher exposure.

Technically, the researchers developed quantum circuits requiring fewer than 1,500 logical qubits and tens of millions of computational operations, translating to under 500,000 physical qubits under current assumptions. This is a substantial improvement over earlier estimates, such as a 2023 study that suggested around 9 million qubits would be needed. More optimistic models could reduce this further, though they depend on hardware capabilities not yet demonstrated.

In an unusual move, the team did not publish the full attack design. Instead, they used a zero-knowledge proof generated through the SP1 zero-knowledge virtual machine to validate their findings without exposing sensitive details. This approach, rarely used in quantum research, allows independent verification while limiting misuse.

The findings arrive as both industry and governments begin preparing for a post-quantum future. The National Security Agency has called for quantum-resistant systems by 2030, while Google has set a 2029 target for transitioning its own infrastructure. Ethereum has been actively working toward similar goals, aiming for a full migration within the same timeframe. Bitcoin, however, faces slower progress due to its decentralized governance model, where major upgrades can take years to implement.

Early mitigation efforts are underway. A recent Bitcoin proposal introduces new address formats designed to obscure public keys and support future quantum-resistant signatures. However, a full transition away from current cryptographic systems has not yet been finalized.

For now, users are advised to take precautionary steps. Moving funds to new addresses, avoiding address reuse, and monitoring updates from wallet providers can reduce exposure, particularly for long-term holdings. While the threat is not immediate, researchers emphasize that preparation must begin well in advance, as advances in quantum computing continue to accelerate.

Anthropic's Claude Code Leak: 500K Lines Exposed

 

On March 31, 2026, Anthropic, the safety-focused AI company behind Claude, accidentally leaked over 500,000 lines of proprietary source code for its Claude Code tool through a public npm package update. This incident, the second such breach in a year, exposed nearly 2,000 TypeScript files via a misincluded debugging file in version 2.1.88, which linked to a publicly accessible zip archive on Anthropic's Cloudflare storage.Security researcher Chaofan Shou quickly spotted the error, sparking rapid mirroring on GitHub where repositories amassed thousands of stars before takedowns. 

The leak revealed Claude Code's full architecture, including 44 feature flags for unreleased capabilities like a "persistent assistant" that runs in the background even when users are inactive. Other hidden gems included session review for performance improvement across conversations, remote control from mobile devices, and a roadmap toward longer autonomous tasks, enhanced memory, and multi-agent collaboration. Developers also uncovered internal tools, prompts, and even a "pet system" codenamed Buddy with species and rarity tiers, hinting at gamified enterprise features. 

Anthropic swiftly responded, calling it "human error" in a release packaging issue, not a security breach, with no sensitive data exposed. The company issued over 8,000 DMCA takedown requests to platforms like GitHub, removing thousands of forks within days. Claude Code creator Boris Cherny confirmed a skipped manual deploy step caused the mishap, and Anthropic pledged process improvements to prevent recurrence. 

This incident underscores vulnerabilities in AI firms' deployment pipelines, especially for a lab positioning itself as security-conscious amid IPO preparations. Competitors now gain insights into production-grade AI coding agents, potentially accelerating their own developments in agent orchestration and tools. While unlikely to derail Anthropic's $340 billion valuation, it highlights how securing AI systems rivals defending against AI-powered threats. 

Ultimately, the Claude Code leak serves as a stark reminder for the AI industry to fortify internal safeguards as innovations race ahead. It boosts hype around Anthropic's capabilities while exposing the human element in high-stakes tech releases. As external developers reverse-engineer remnants, the focus shifts to ethical use and robust verification in open-source ecosystems.

Axios Supply Chain Attack Exposes npm Security Gaps with Token-Based Compromise

 

A breach in the Axios library - one of many relied upon in modern web development - has exposed flaws that linger beneath surface-level fixes. Through stolen access, hackers slipped harmful updates into what users assumed was safe code. This event underscores how fragile trust can be, even when systems claim stronger defenses. Progress in verifying packages and securing logins appears incomplete, given such exploits still succeed. Confidence in tools like those hosted on npm remains shaken by failures that feel both avoidable and familiar. 

A lead developer’s extended-use npm token was accessed by hackers, reports show from Huntress and Wiz. Through this entry point, altered builds of Axios emerged - versions laced with hidden code deploying a multi-system remote control tool. Not limited to one environment, the harmful update reached machines running on macOS, Windows, or Linux setups. Lasting just under three hours, the rogue releases stayed active online until taken down. 

Axios ranks among the top tools in JavaScript, downloaded more than a hundred million times each week, found in roughly eight out of ten cloud setups. Moments after the tainted update went live, malware started spreading fast; Huntress later verified infection on 135 machines while the vulnerability was active. Hidden within a third-party addition, plain-crypto-js slipped into Axios’s environment without touching its main codebase. Not through direct changes but via a concealed payload activated after installation. 

Running quietly once set up, it triggered deployment of a remote access tool on developers’ systems. Built to avoid notice, the malicious code erased itself under certain conditions. Altered components were restored automatically, masking traces left behind. One reason this breach stands out lies in its method - evading defenses thought secure. Even after adopting standard safeguards like OIDC for verified publishing and robust supply chain models, outdated tools remained active. 

A leftover npm access key opened the door despite stronger systems being in place. Where two login paths existed, preference went to the original token, rendering recent upgrades useless under that condition. This is now the third significant breach of the npm supply chain in just a few months, after events such as the Shai-Hulud incident. 

Each time, hackers used compromised maintainer login details to gain access, revealing a recurring weakness across the system. Though security professionals highlight benefits of measures like multi-factor verification and origin monitoring, these fail to block every threat when login data is exposed. 

With growing pressure, companies must examine third-party links, apply tighter rules on software setup, yet phase out outdated access methods instead. When trust rests on open-source tools, weaknesses in how credentials are handled can still invite breaches. A single event shows flaws aren’t always in the code itself - sometimes they hide where access is managed.

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