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OpenAI on Tuesday said a combination of its artificial intelligence (AI) models, including GPT-5.6 Sol and an "even more capable pre-release model," was behind the security incident that targeted Hugging Face's production infrastructure last week. The AI company said the models were operating with "reduced cyber refusals for evaluation purposes" that might otherwise limit their ability to conduct cyber attacks, adding it expects such incidents to "become more commonplace with the proliferation of increasingly cyber-capable models." Incidents like this may become more common. Subscribe, and we’ll alert you only when another major AI security story breaks. Describing it as an "unprecedented cyber incident" and one involving state-of-the-art cyber capabilities, OpenAI said it intends to conduct a thorough investigation in partnership with Hugging Face to get to the bottom of the matter. As part of an internal evaluation, the models...

The cycle is over. For years, cybersecurity followed a familiar pattern: defenses improved, attackers adapted, and the back-and-forth continued. Today, AI-equipped attackers are simply outpacing defenses. Most intrusions now bypass endpoint and malware-based detection entirely. The CrowdStrike Global Threat Report estimates around 79% of attacks are malware-free, as threat actors rely on credential theft and DLL side-load techniques to bypass host-level monitoring. Perimeter vulnerabilities compound this exposure; firewalls and VPN gateway breaches climbed 19% according to the latest Verizon Data Breach Investigations Report . Once an adversary gains access, breakout often occurs in seconds. Claude Mythos and similar models have further escalated operational pressure. These can rapidly discover and exploit previously unknown vulnerabilities, virtually closing the window from initial discovery to full compromise. Security practices must adapt to prioritize rapid containment and ...

German and US law enforcement have taken down the core infrastructure of Kratos , described by German investigators as one of the world's most widely used criminal phishing kits, and Indonesian authorities arrested the man they say developed and ran it. In a joint announcement on Monday, the Frankfurt public prosecutor's cybercrime unit (ZIT) and Germany's Federal Criminal Police Office (BKA) said they pulled more than 200 servers offline. Investigators estimate roughly 1,800 paying customers used Kratos to run about 15,000 phishing campaigns a month. Kratos harvested more than passwords. The kit was designed to steal the session cookie along with the login, and that cookie is enough to walk past two-factor authentication into the account as the user, the BKA said. ANY.RUN, which reverse-engineered the kit , found operators could pick one of two modes: a plain PHP page that only harvests credentials, or a Node.js reverse proxy designed to relay the login to Micros...

Cybersecurity researchers have discovered a NuGet typosquat that's unlike the typical information-stealing malware distributed via package registries: usual info-stealers: it's designed to rig live game results on Digitain. The package, named " Newtonsoftt.Json.Net ," masquerades as the Newtonsoft.Json library and is a trojanized fork. Seven versions of the package have been published to the NuGet repository: 11.0.4, 11.0.5, 11.0.7, 11.0.8, 11.0.9, 11.0.10, and 11.0.11. The package has been downloaded about 1,200 times to date. The package has been unlisted by its owner MagicalPuff96, meaning it will not be surfaced via a search on NuGet. However, the artifacts are still available for download from the registry. "The trojan rigs Digitain, an online betting platform, and in later generations, exfiltrates rigged round results to an attacker-controlled server, utilizing the header X-Seq-ApiKey: theperfectheist2025," according to JFrog . What's not...

A single invisible comment in an Azure DevOps pull request can turn a reviewer's own AI coding agent against them, driving it into projects the attacker has no rights to reach and quietly leaking what it finds. The flaw is in Microsoft's official Azure DevOps MCP server , and it works because one of its tools returns pull request descriptions without a prompt-injection guardrail the company had already applied to others. Agentic Runtime Security firm Manifold Security detailed the confused-deputy bug this week. Microsoft ships the server so AI agents can read and operate Azure DevOps for a user, across pull requests, pipelines, wikis, and work items, all with the user's own permissions. That is the whole problem: content other people wrote can become instructions the agent acts on. Azure DevOps PR descriptions accept Markdown, which allows HTML comments. In the web UI, an HTML comment (<!-- ... -->) renders as nothing, so a reviewer scrolling the description s...