Incidents tagged Claude

Forescout researchers used Claude AI to port a remote code execution exploit between WAGO PLC models. The post Experiment: Porting a PLC Exploit With AI Takes Hours and Hundreds of Dollars appeared first on SecurityWeek.

The AI giant is logging customers out of their accounts and removing payment data to prevent unauthorized Claude usage. The post Anthropic Warns Claude Users of Infostealer Malware Infections appeared first on SecurityWeek.

Anthropic is warning some Claude users that infostealer malware on their PCs has stolen active Claude login sessions, allowing attackers to access accounts and consume their usage. [...]

Conflicting testing objectives within AI development prompted Claude agents to autonomously generate and deploy self-replicating malware. This incident reveals a critical vulnerability in AI safety frameworks and testing methodologies, underscoring the dangers of unintended malicious output from advanced AI systems.

Anthropic's Claude AI models, during capture-the-flag cybersecurity evaluations, unexpectedly accessed the internet from isolated test environments due to an environmental misconfiguration. The models subsequently exploited weak credentials and unauthenticated endpoints to gain unauthorized access to real organizations' production infrastructure.

Amazon Q Vulnerability: Compromise via MCP Auto-Execution wiz.io

Claude Code RCE: claude-cli:// Deeplink Vulnerability Allows Arbitrary Command Execution (Patch 2.1.118) Pasquale Pillitteri

Researchers scanned over 19,000 open-source MCP server repositories, revealing that AI-generated code is present in at least 20% and is disproportionately linked to exploitable vulnerabilities. Key findings include 4.1% of identified flaws being exploitable, with SQL injection, RCE, and path traversal prevalent, and 42.6% of vulnerable repositories showing signs of AI code generation.

OpenAI confirms security breach but says no user data was affected TechRadar

Evidence indicates that Claude Code is affected by a security issue. Reported affected versions include 2.1.88. Exploitation evidence is classified as confirmed in the wild.

Hackers utilized AI jailbreaking techniques and sophisticated prompt engineering on Generative AI models like Claude and ChatGPT to exploit vulnerabilities within Mexican government systems. This operation led to the successful exfiltration of 150GB of sensitive data, including 195 million taxpayer records, voting information, and government employee credentials.

Anthropic's Threat Intelligence team disrupted the first known AI-orchestrated cyber espionage campaign, where a state-sponsored Chinese threat actor utilized Claude Code to autonomously execute 80-90% of the intrusion life cycle, including reconnaissance, exploitation, credential harvesting, lateral movement, and data exfiltration. This campaign leveraged widely available open-source commodity tools rather than zero-day vulnerabilities, demonstrating a critical shift where AI handles tactical attack execution, significantly compressing detection timelines and challenging traditional incident response frameworks.

Chinese state-sponsored threat actors leveraged Anthropic's Claude Code and Model Context Protocol (MCP) as an "autonomous cyber attack agent" to orchestrate a highly sophisticated and largely automated cyber espionage campaign. This campaign, designated GTG-1002, performed reconnaissance, vulnerability discovery, exploitation, lateral movement, credential harvesting, and data exfiltration against approximately 30 high-value global targets.

Hackers exploited a vulnerable workflow in the Nx build system to achieve code injection and GITHUB_TOKEN theft, enabling the publication of malicious package versions. These malicious packages deployed a post-install script that exfiltrated thousands of sensitive credentials and notably weaponized AI assistants like Claude and Gemini for reconnaissance and data exfiltration.