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OpenAI Supply Chain Attack via Axios Code Signing

OpenAI Supply Chain Attack via Axios Code Signing

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 SecurityWeek

OpenAI has been impacted by a supply chain attack attributed to North Korea-linked threat actors, involving a compromised macOS code signing certificate associated with the Axios JavaScript library. The incident highlights the vulnerability of major AI platforms to upstream software supply chain compromises, which could expose users to malicious code distributed through trusted tooling. As a leading AI infrastructure provider, any compromise of OpenAI's build or distribution pipeline carries significant downstream risk for enterprises relying on its models and APIs.

litellm Supply Chain Attack: PyPI .pth File Injection

litellm Supply Chain Attack: PyPI .pth File Injection

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Schneier on Security

A malicious supply chain attack was discovered in litellm version 1.82.8, a widely-used Python library that serves as a unified interface for interacting with large language model APIs. The compromised package contained a hidden .pth file executing arbitrary code on every Python interpreter startup, meaning any developer or AI system relying on litellm could be silently compromised without triggering an explicit import. Given litellm's central role in LLM-powered application stacks, this attack vector poses significant risk to AI pipeline integrity, credential theft, and downstream model infrastructure.

ComfyUI RCE Exploited in Cryptomining Botnet Campaign

ComfyUI RCE Exploited in Cryptomining Botnet Campaign

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 The Hacker News

Threat actors are actively exploiting internet-exposed ComfyUI instances — a popular AI image generation platform — by abusing its custom node execution feature to achieve unauthenticated remote code execution. Over 1,000 publicly accessible instances have been identified as targets, with compromised hosts enrolled in Monero and Conflux cryptomining operations and a Hysteria V2 proxy botnet. The attack highlights critical supply chain and insecure plugin design risks inherent in AI/ML tooling ecosystems.

Google Vertex AI Over-Privilege Enables Data Exfiltration

Google Vertex AI Over-Privilege Enables Data Exfiltration

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 Dark Reading

Palo Alto Networks researchers have identified over-privilege vulnerabilities in Google's Vertex AI platform, demonstrating how malicious actors could exploit AI agents to exfiltrate sensitive data and pivot into restricted cloud infrastructure. The findings highlight systemic risks in agentic AI deployments where excessive permissions granted to AI workloads expand the attack surface beyond traditional cloud security boundaries. This research underscores the growing urgency around securing AI agent permissions and enforcing least-privilege principles in enterprise ML platforms.

CVE-2025-59528: Flowise RCE Exploited Across 12,000 Instances

CVE-2025-59528: Flowise RCE Exploited Across 12,000 Instances

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.4 The Hacker News

A maximum-severity (CVSS 10.0) remote code execution vulnerability in Flowise, a widely-used open-source AI agent builder, is under active exploitation with over 12,000 internet-exposed instances at risk. The flaw, CVE-2025-59528, exists in the CustomMCP node and allows unauthenticated JavaScript execution with full Node.js runtime privileges via unsanitised MCP server configuration input. This marks the third Flowise vulnerability exploited in the wild, underscoring systemic security gaps in AI orchestration and agent-building platforms.

SWE-bench, WebArena Exploited via Environmental Manipulation

SWE-bench, WebArena Exploited via Environmental Manipulation

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 HN AI Security

Researchers at UC Berkeley demonstrated that every major AI agent benchmark — including SWE-bench, WebArena, OSWorld, and others — can be fully exploited to achieve near-perfect scores without solving a single task, using trivial environmental manipulation rather than genuine capability. The attacks include pytest hook injection, config file leakage, DOM manipulation, and reward component bypassing, with zero LLM calls required in most cases. This represents a systemic integrity failure in the evaluation infrastructure underpinning AI deployment decisions across industry and research.

Anthropic Claude Prompt Injection Enables Excessive Agency

Anthropic Claude Prompt Injection Enables Excessive Agency

ATLAS OWASP LOW Limited impact · Standard review ▲ 6.2 CrowdStrike Blog

CrowdStrike, as a founding member of Anthropic's Mythos program, is highlighting the security challenges posed by increasingly capable frontier AI models, signaling a growing industry focus on securing agentic and large-scale AI systems. The article underscores the philosophical and practical position that AI capability gains must be matched by proportional security investment. While the piece is primarily a vendor partnership announcement and executive viewpoint, it reflects an important industry trend toward formalising AI-specific security frameworks and tooling.

US summons bank bosses over cyber risks from Anthropic's latest AI model

US summons bank bosses over cyber risks from Anthropic's latest AI model

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 8.5 HN AI Security

The US Treasury convened major bank executives to discuss cybersecurity risks posed by Anthropic's unreleased Claude Mythos model, which the company claims has surpassed nearly all human experts at finding and exploiting software vulnerabilities. A code leak prompted Anthropic to publicly acknowledge the model's unprecedented offensive cyber capability, raising systemic financial sector risk concerns. The meeting signals growing regulatory awareness of AI-enabled cyber threats to critical financial infrastructure.

Anthropic Mythos AI Autonomously Discovers Zero-Day Exploits

Anthropic Mythos AI Autonomously Discovers Zero-Day Exploits

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Dark Reading

Anthropic has released a preview of 'Mythos,' an AI model reportedly capable of autonomously discovering and exploiting critical zero-day vulnerabilities, raising significant dual-use concerns. While Anthropic claims the model ships with access controls, the security community is scrutinising whether those safeguards are sufficient to prevent misuse by malicious actors. The development represents a pivotal moment in the arms race between offensive AI capabilities and defensive governance frameworks.

AI Browser Extensions 60% Riskier Than Standard Tools

AI Browser Extensions 60% Riskier Than Standard Tools

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 The Hacker News

A LayerX report reveals that AI browser extensions represent a largely unmonitored attack surface in enterprise environments, with 1-in-6 enterprise users already running at least one AI extension. These extensions are statistically riskier than standard extensions — 60% more likely to carry a CVE, 3x more likely to access cookies, and capable of exfiltrating sensitive data without triggering DLP or SaaS monitoring controls. The finding highlights a critical governance gap in AI consumption channels that bypasses traditional enterprise security tooling.

botctl Process Manager Enables Prompt Injection Attacks

botctl Process Manager Enables Prompt Injection Attacks

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 HN AI Security

botctl is an open-source process manager that enables persistent, autonomous AI agents (currently Claude-backed) to run continuously as background daemons with tool access, file system write permissions, and internet connectivity. While marketed as a productivity tool, the architecture introduces substantial attack surface through unattended agentic execution, a skills marketplace with third-party prompt injection, and a locally-exposed web dashboard. The combination of persistent autonomy, extensible skill modules from arbitrary GitHub repositories, and session memory creates compounding risk vectors relevant to agentic AI security.

GitHub Supply Chain Attacks via PRT-scan Campaign

GitHub Supply Chain Attacks via PRT-scan Campaign

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 Dark Reading

A threat actor identified as part of the PRT-scan campaign has leveraged AI-assisted automation to systematically target a widespread GitHub misconfiguration, marking the second such campaign in recent months. The use of AI for automated reconnaissance and exploitation of supply chain vulnerabilities represents a significant escalation in attacker capability. This campaign highlights the growing risk of AI-augmented attacks against software supply chains, which can have cascading downstream effects on ML pipelines and production systems.

CrowdStrike Charlotte AI Vulnerable to Prompt Injection

CrowdStrike Charlotte AI Vulnerable to Prompt Injection

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 CrowdStrike Blog

CrowdStrike's Charlotte AI AgentWorks introduces an agentic security ecosystem where autonomous AI agents collaborate to perform security operations tasks with reduced human intervention. The platform raises important considerations around excessive agency, trust boundaries between agents, and the attack surface introduced by interconnected AI systems in security-critical environments. As agentic SOC architectures proliferate, the security of the AI agents themselves becomes a primary concern.

Shadow AI Governance Threats Across SaaS and Cloud Endpoints

Shadow AI Governance Threats Across SaaS and Cloud Endpoints

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 CrowdStrike Blog

CrowdStrike has announced new platform innovations targeting the governance of Shadow AI and the security of AI agents across endpoints, SaaS, and cloud environments. The release highlights growing enterprise concerns around unmanaged AI tool proliferation and the attack surface introduced by autonomous AI agents. These developments reflect an industry-wide shift toward operationalising AI-specific security controls within existing SOC workflows.

Claude Source Code Leak Reveals AI Supply Chain Risk

Claude Source Code Leak Reveals AI Supply Chain Risk

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Dark Reading

A reported source code leak affecting Claude, Anthropic's large language model, underscores systemic weaknesses in AI software supply chains and the absence of robust oversight mechanisms at critical development and distribution layers. The incident highlights how proprietary model code, training pipelines, and system prompts can become high-value targets for adversarial actors seeking to enable model theft, backdoor insertion, or competitive intelligence gathering. This event serves as a broader warning about treating AI development infrastructure with the same rigor applied to other critical systems.

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