VOLTA is a mature stealer implant with an optional AI-integration layer. After stealing credentials, sessions, and cryptocurrency wallets, VOLTA sends a structured evidence bundle to an LLM to rank the victim’s assets by monetization value. If a model refuses to perform the target assessment, VOLTA fails over to a three-model chain, implying a direct engineering effort and expectation of hitting model guardrails. This stealer is self-deleting, and there is no attacker-owned infrastructure. The…
Phishing remained the leading initial access technique, appearing in slightly over one-third of all Cisco Talos Incident Response (Talos IR) engagements — a decrease from over 50 percent last quarter. In addition to traditional phishing links and attachments, we observed numerous threat actors conducting voice phishing (vishing) in tandem with IT desk impersonation to socially engineer the victim into allowing remote access via a legitimate remote monitoring and management (RMM) tool.…
Key Points Check Point Research discovered a campaign we track as Yoba where attackers abuse the popularity of AI tools such as ChatGPT and Claude, creating fake GitHub projects that pretend to be desktop applications like GPT-5.6 Sol, GPT-6 Astra, and Claude Opus. The malware is placed next to legitimate, signed executables from OpenAI and Anthropic so it can be loaded indirectly, a technique commonly known as DLL sideloading, which is often used to bypass security protections. This campaign…
Phishing follows whatever people want at the moment, and right now that includes AI subscriptions they don’t have to pay for. We recently uncovered a new variation on this theme: A fake Claude Max giveaway that uses a convincing Google sign-in window to steal login information.Claude’s paid plans start at $20 a month and cost considerably more for higher usage limits, while free accounts have stricter limits. That makes the promise of a free upgrade an attractive lure.Microsoft reported in June…
Google says one of its Gemini models accessed systems belonging to three real companies during a cybersecurity evaluation in May. The model reportedly guessed credentials in one case, while finding exposed credentials in public repositories in two others. Google says Gemini stopped once it recognized that it had reached real infrastructure and that the affected organizations were notified. Gemini was participating in an evaluation run by Irregular, a third-party AI cybersecurity testing firm.…
The defining development of the period came not from attackers but from the AI labs themselves, whose models broke out of controlled evaluations and reached real systems. In the wild, the criminal and state use of AI continued to mature along the lines tracked in earlier editions: models now act as attack operators, an underground market supplies the access, and AI systems have themselves become a target. The substantial distance between what the strongest models demonstrated under evaluation…
Anthropic says multiple threat groups, including the financially motivated and state-sponsored espionage groups linked to Russia and China, tried to abuse its Claude AI model for malicious purposes. [...]
The question of whether a Frontier AI model could find vulnerabilities that no human researcher had found was settled in April. Claude Mythos Preview identified thousands of previously unknown flaws across every major operating system and browser, including a 27-year-old denial-of-service condition in OpenBSD, and within a month Anthropic and its Project Glasswing partners had logged more than 10,000 high and critical severity findings, among them a certificate forgery flaw in wolfSSL, a…
Selecting a model for your security operations center (SOC) and digital forensics and incident response (DFIR) tasks is important, but selecting the best one is more involved than you might think. SOC tasks rely on a combination of model efficacy, analysis time, cost, and consistency of results. Cisco Talos tested 66 model and reasoning combinations across offerings from both Anthropic and OpenAI on a log analysis task to see if we could identify a clear winner. Instead, we found a repeatable…
GreyNoise is observing automated scanners posing as the web crawlers of OpenAI, Anthropic, DeepSeek, and Fortune 500 companies, using forged user agents while requesting the files where misconfigured web servers frequently leak secrets and credentials.
We spent 500+ hours and 40 billion tokens testing Anthropic’s Claude Mythos Preview for Project Glasswing. The takeaway: frontier AI won't run your code security program, but used well, it can make one even stronger.Key takeawaysFrontier AI dramatically scales security testing. In one month, Tenable dedicated 11 security experts and more than 40 billion tokens testing Claude Mythos Preview across source code analysis, exploit creation, binary reverse engineering, threat modeling, and dynamic…
Tenable spent 30 days running frontier AI models against our own code. It didn’t just find bugs — it proved they’re real, with reproducible exploits. That fundamentally changes code security from ranking potential code defects to a much higher signal focused on the findings that matter. Read on to learn how it reshaped our security team's work, what it cost, and why your program is next.Key takeaways:Now code security starts with proof, not suspicions. Frontier AI instantly builds working…