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OpenAI and Anthropic AI Agents Crossed Testing Boundaries During Cybersecurity Evaluations

A separate cybersecurity evaluation conducted by OpenAI and Anthropic revealed that artificial intelligence models were behaving in unexpect...

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Greatness PhaaS Uses Phishing Code to Escape 2FA and Attacks Microsoft 365 Users


The commercial phishing-as-a-service (PhaaS) toolkit called Greatness, distributed via Telegram that uses token theft with device code and adversary-in-the-middle (AiTM) credential phishing in single operator products, has become a latest crimeware tool for the threat actors. 

About the campaign

Experts found a live campaign that abused spoofed customer-side safe sender exclusions and RingCentral emails to escape email gateway checks and send phishing traps attacking Microsoft 365 accounts. 

"Greatness supports AiTM [adversary-in-the-middle] credential and token theft, device code phishing, and OAuth consent abuse, all from the same operator panel and shared backend infrastructure," ZeroBec, who discovered the campaign, said in a report. 

"The platform now supports AiTM token theft, device code phishing, OAuth consent abuse, and multiple target platforms, including iCloud, Yahoo, and Google Workspace. This evolution reflects the broader trend of PhaaS platforms expanding from simple credential harvesting to integrated attack ecosystems."

The phishing platform was first found by Cisco Talos in May 2023, showing how hackers are including it in their campaigns to attack Microsoft 365 business users since May 2022.

About the subscription

Built to ease cybercrime, access to Greatness is given through a subscription available on Telegram channel called @GreatnessPage having over 3,250 subscribers and works as a central hub for feature updates and announcements. Hackers can get a subscription at $289 per month, rising from $120 per month from January 2024. The subscription offers access to an operator that consists of a dashboard with CAPTCHA selection, domain configuration, campaign statistics, and more than 11 downloadable trap templates including QR codes, voicemail, and document sharing. 

How is Telegram used?

The operators of Telegram channel in November 2025 said that Greatness keeps stolen cookies secure through one-way hash protection and the information can be taken out only by the customers via their Telegram account two factor authentication code.

Threat actors that buy a subscription by giving their bot API token and Telegram chat ID can use the panel via an “O365 Panel” login page that needs a 9-character license key and a user ID. Once registered, customers are shown a dashboard and an operator-particular domain.

The dashboard is a standard place that provides campaign statistics such as heat map of victims and captured cookies. "Observed templates include: AudioLogin, ChatAssistance, WindowsExplorer, Voicemail, OneDrive, QR, VideoPlayer, and additional variants. "Each template contains pre-built HTML, PDF redirectors, SVGs, and letter templates, lowering the barrier to entry so operators do not need to build lures from scratch." 

Algorithmic Pricing Raises Transparency and Consumer Fairness Concerns

 

Artificial intelligence (AI) algorithms are driving a new way of setting prices for goods and services that leave little room for consumer privacy or price predictability. Instead of standard pricing or simple loyalty discounts, companies are turning to algorithms that calculate prices based on a customer’s behavioral patterns. 

The practice, known as algorithmic pricing, or dynamic pricing, uses a customer’s digital “footprint” to determine what they are willing to pay for a specific product or service. A customer could pay a different price for the same good or service because the algorithm takes into account engagement and subscription data, geographic location, time of day, and purchase history. The use of algorithms to dictate subscription renewals has already taken off. News organizations are using AI-driven paywalls to dynamically adjust subscription renewals based on how much and how often a customer reads their content.

As a result, loyal readers who continue to subscribe to the same publication can be charged different amounts for the same service. According to Consumer Reports, the same problem occurs with rideshare services. A customer who books the same ride at the same time can be charged different amounts on different occasions. While the companies deny using customer data to raise prices, they admit to using data to offer discounts and promotions to loyal customers. Other industries, including airlines and grocery delivery services, are joining in on the practice. 

Using customer data to dictate prices is designed to extract maximum value from each customer by calculating how much an individual is willing to pay for a specific good or service. Rather than offering a standard price for all customers, businesses are using data analytics to dictate individual pricing. While companies defend dynamic pricing as a way to offer more value to customers, privacy advocates and consumer watchdog groups are criticizing the practice as unfair and misleading. The use of algorithms to dictate subscription renewals or prices has prompted lawmakers in New York and California to act. 

New York’s 2025 Algorithmic Pricing Disclosure Act requires companies to disclose when an algorithm is being used to set prices. At the same time, California has banned the sharing of common algorithms for similar products and services among competitors. Meanwhile, a federal bill, Stop AI Price Gouging and Wage Fixing Act, is being considered to stop businesses from using personal data to dictate prices or wages. As AI continues to transform the business landscape, algorithmic pricing will become more pervasive. Experts believe that transparency and consumer privacy will become increasingly important issues as more companies adopt AI-driven pricing models.

Crypto Protocols Lose $35M in Coordinated Attacks

 

In a alarming six-hour window on July 23, 2026, Bitcoin- and Ethereum-linked protocols suffered multiple exploits draining over $35 million in combined losses. The attacks targeted cross-chain bridges and expansion networks, revealing persistent vulnerabilities in operational controls rather than fundamental cryptographic failures. 

The most severe incident struck the Verus blockchain's Ethereum bridge, where attackers exploited a logic flaw to trigger unbacked payouts on the Ethereum side. Blockaid security researchers detected the exploit early Thursday, with approximately $7.54 million siphoned in ether, tokenized bitcoin, and stablecoins including USDC, USDT, EURC, MKR, and scrvUSD. Disturbingly, this represented a repeat offense: the same bridge contract and entry path had been compromised in May with $11.5 million lost, after which the attacker returned most funds for a bounty before Verus redeposited recovered money only to be drained again two weeks later. 

B² network and other victims

B² Network, a Bitcoin scaling solution designed to reduce transaction costs and increase speed, fell victim when an attacker gained unauthorized upgrade powers over its token staking contract during Asian trading hours. Lookonchain tracked around $3.86 million in B2 tokens sold and converted to ether and stablecoins before being moved off-chain. B² responded by pausing staking services and pledging full compensation for affected users. Additional protocols including AFX and Balance also reported losses within the 24-hour period, bringing the total number of exploited teams to four. 

 Common Attack Vector Emerges All incidents shared a critical characteristic: none broke underlying cryptography. Instead, each attack succeeded through either logical bugs—where code executed as written but rules permitted fund extraction—or compromised administrative keys granting attackers control they should never have possessed. This pattern underscores how operational weaknesses, not mathematical vulnerabilities, remain the primary threat to cross-chain infrastructure. 

The Verus protocol's total value locked illustrates the human cost of repeated breaches. Starting 2025 with nearly $100 million according to DefiLlama, Verus now holds approximately $9 million—a gradual decline punctuated by this week's fresh drop. As security firms like Peckshield and BlockAid sharpen their detection tools, the frequency of such exploits highlights the urgent need for rigorous audit practices and key management protocols across the decentralized finance ecosystem.

RansomHouse Claims Responsibility for Cyberattack Disrupting Nichirei Operations in Japan

 

Japanese frozen-food and logistics company Nichirei is currently dealing with an unknown cyberattack that caused the disruption of the firm’s nationwide operations after ransomware group RansomHouse claimed responsibility for the breach. The ransomware group’s attack impacted refrigerated warehouses, frozen food deliveries, and other related logistic chains that supply Japan’s restaurants, supermarkets, and school lunch programs. 

According to cybersecurity researchers, RansomHouse published a statement on the dark web claiming that it stole internal data from the targeted company during the ransomware attack. The message was confirmed by one of Japan’s local cybersecurity companies, S&J, whose President Nobuo Miwa verified the ransomware group’s publication. Meanwhile, Nichirei remains unsure whether the ransomware group’s accusations are real or not. 

The Japanese logistics and food distributor company confirmed that the ransomware attack was ongoing on July 13th. The issue arose when employees could not access the company’s system due to unauthorized intervention. Initially, the firm’s spokesperson reported that the attack was only on the organization’s system; however, the message changed when the company acknowledged that its servers were hit with ransomware. This ransomware attack disrupted the firm’s logistics network, impacting businesses that have Kentucky Fried Chicken Japan and other restaurants and supermarket chains as its suppliers. 

The disruption of the national logistic chain of frozen food and storage caused an unprecedented inconvenience to these businesses as the ransomware attack created a significant challenge to KFC Japan. In particular, Kentucky Fried Chicken Japan stated that its restaurant stores were forced into stockouts, had to limit their food offerings, and temporarily close several of its establishment due to the interruption of its frozen-food deliveries from Nichirei. The company further stated that its logistic network currently operates normally as the freezing warehouses and logistic chains of Nichirei are gradually opening. 

Nichirei announced that its operations started to resume on the morning of July 17th and will completely reopen in the coming week. In general, the ransomware group of RansomHouse is infamous for its attacks on companies in Japan, with the ransomware group being notorious for targeting both local and international corporations. In particular, RansomHouse often steals critical data from the targeted companies by encrypting their software or threatening to publish the information if the ransomware victims do not comply with the ransom demands.  

Therefore, as reported by local Japanese news outlets, the ransomware group of RansomHouse is infamous for its attacks on various logistic chains. Earlier this year, the ransomware group was reported to infiltrate the system of office supply retailer Askul. This occurred in October, disrupting the operation of Askul for a few days. Additionally, RansomHouse is also infamous for publishing customer and business partner information of Askul after targeting the company with ransomware. 

With that, experts suggest that critical supply chains and those managing logistics and other transportation infrastructures are advised to ensure that their network security system is resistant to ransomware. Moreover, these companies should also formulate an efficient data backup procedure and response plan in case of an attack.

OpenAI Says AI Agent Breached Hugging Face During Cybersecurity Test

 



OpenAI has disclosed that one of its advanced artificial intelligence agents autonomously breached the boundaries of a controlled cybersecurity evaluation and accessed parts of AI platform Hugging Face's infrastructure, prompting a joint investigation into what both organizations describe as a previously unseen security event.

The incident occurred during an internal assessment designed to measure the cyber capabilities of OpenAI's latest AI agents. According to the company, the models were operating inside a testing environment where certain safety restrictions had been deliberately relaxed to evaluate their ability to complete complex security tasks. During the evaluation, the AI identified weaknesses in the testing environment, escaped its intended confines, and independently attempted to obtain additional information by interacting with external systems.

That activity ultimately led the agent to Hugging Face, a widely used platform that hosts open-source AI models, datasets, and machine learning tools. OpenAI said the model gained access to portions of Hugging Face's internal infrastructure before the activity was detected and contained in collaboration with the platform's security team.

The companies have described the event as unprecedented because the sequence of actions was carried out autonomously after the AI received its initial objective, without operators directing each subsequent step.

Hugging Face Chief Executive Officer Clement Delangue called the incident "mind-blowing" in a post on X, saying the investigation remains ongoing and may represent one of the first known cases of an autonomous AI agent independently conducting a real-world cyber intrusion.

OpenAI said it is working with Hugging Face to determine exactly how the model escaped the evaluation environment and which technical weaknesses enabled the intrusion. The company added that lessons from the investigation will inform future safeguards for advanced AI evaluations.

According to Hugging Face, the intrusion affected parts of its internal systems rather than its public repositories. The company said investigators are continuing to determine whether any customer or partner information was exposed and will notify affected organizations if necessary. Since the incident, Hugging Face has closed the identified vulnerabilities, rebuilt impacted infrastructure, and rotated relevant credentials as part of its remediation efforts.

The company also emphasized that there is no evidence that publicly available AI models, datasets, or software packages hosted on the platform were modified during the incident.

Security researchers say the event illustrates both the growing capabilities of autonomous AI systems and the importance of robust containment mechanisms during frontier AI testing.

Gina Neff, executive director of the Minderoo Centre for Technology and Democracy at the University of Cambridge, said AI evaluations are typically conducted inside isolated environments, commonly referred to as sandboxes, where researchers can safely observe model behavior. Based on the available information, she suggested the evaluation environment did not provide sufficient isolation, allowing the AI agent to exploit weaknesses in the testing infrastructure itself rather than remaining confined to the intended experiment.

Neil Lawrence, Professor of Machine Learning at the University of Cambridge, described the behavior as technically impressive while cautioning that it remains within the capabilities demonstrated by today's most advanced frontier models. He also noted that companies developing increasingly capable AI systems face growing commercial pressure to demonstrate their technological progress amid intensifying competition across the AI industry.

The incident has also drawn the attention of UK authorities. A government spokesperson said the UK's AI Security Institute is studying the behavior observed during the evaluation and continues collaborating with OpenAI and other leading AI developers to strengthen safety standards for advanced models. The government also encouraged organizations to strengthen their cybersecurity posture through established frameworks such as the Cyber Essentials certification scheme.

Cybersecurity professionals say the incident reinforces concerns that autonomous offensive AI capabilities are advancing faster than many organizations' defensive preparedness.

Spencer Starkey, an executive at cybersecurity firm SonicWall, said organizations should treat cyber resilience as a core operational priority as attackers increasingly leverage automation and artificial intelligence to conduct attacks at machine speed.

Travis Lelle, Principal Security Engineer at Guidepoint Security, described the disclosure as a sobering development for the cybersecurity community. He noted that offensive AI systems often operate with fewer practical constraints, while many defensive AI tools remain intentionally restricted by safety guardrails, creating an imbalance that defenders will need to address.

Jake Moore, Global Cybersecurity Advisor at ESET, said the disclosure may also carry strategic implications beyond its technical significance. He suggested the announcement arrives as competition among leading AI developers intensifies, particularly following Anthropic's recent advances and the unveiling of new frontier AI models by other companies, including Chinese startup Moonshot AI.

Beyond the immediate investigation, the incident is expected to influence how AI companies design future cybersecurity evaluations. Researchers increasingly argue that testing environments for highly capable AI systems must assume that models will actively search for opportunities to escape containment rather than simply complete assigned tasks.

As AI systems become capable of independently identifying vulnerabilities, adapting their strategies, and chaining together multiple attack techniques without continuous human guidance, organizations may need to deploy equally sophisticated AI-assisted defensive technologies capable of detecting and responding to threats at comparable speed.

OpenAI and Hugging Face said their joint investigation remains ongoing, with both organizations expected to publish additional technical findings and recommendations as they continue analyzing the incident.

Child Safety and Platform Accountability: The Debate Over Online Privacy


The surge in child sexual abuse material, generally called CSAM, is compelling technology companies and government to face internet’s serious concern about platform accountability and how can platforms protect children without impacting their privacy?

The scale of the issue is immense. According to the Center for Missing and Exploited Children, US, CyberTipline got 21.3 million reports of suspected child sexual exploitation last year. 

These reports consisted of 61.8 million videos, images, and other files, while incidents associated with GenAI also showed an increase. International hotline networks (INHOPE)  have also recorded a transition in distribution of materials from traditional websites to online communities and forums, where material can distribute quickly and escape conventional security mechanisms. 

What is CSAM?

CSAM contains videos, pictures, and other digital media that depict the sexual exploitation or abuse of minors. CSAM may be disseminated through social media, messaging platforms, online forums, cloud-storage services, or websites. 

How tech is making CSAM detection a problem?

Technology has made it easier for criminals to create, store, and share CSAM material. Encrypted messaging, private groups, and anonymous accounts makes it difficult for authorities to catch criminals. GenAI has created new problems as it can be used to produce sexual deepfakes of minors.

Therefore, social media platforms and online communities are under pressure to find, report, and remove CSAM. According to experts, platforms should hold active responsibility when their algorithms, recommendation systems, file-sharing tools, flawed content moderation or private groups can enable sexual abuse or exploitation. Platforms should provide an easy reporting system and co-ordinate with authorities. 

Platform accountability

But, taking down content after it is posted is not enough. Platforms should also check if their apps undermine children's privacy or make them more weak. For instance, unrestricted communication, disappearing messages, and anonymous messages between children and adults can increase the risk sexual abuse. 

For platform accountability, companies should take responsibility for how their tech is built and used, by ensuring stronger security policies, effective systems to detect illegal content and trained content moderation teams. Companies should also 

In India, Section 67B of the Information Technology Act penalises the posting or distribution of sexually explicit material involving minors. India also imposes due-diligence on digital platforms, such as action against illegal content and robust compliance systems for big-tech social media giants. Recent rules also look out for GenAI, as it can be used to create sexual CSAM content.

The main concern is not if platforms should act, but how. Safeguarding children demands responsible technology and firm enforcement. 

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