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Flowise and n8n: Auth Bypass in Exposed LLM Services

Flowise and n8n: Auth Bypass in Exposed LLM Services

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

A scan of over one million exposed AI services found pervasive security failures including absent authentication, leaked API keys, and exposed business logic across self-hosted LLM deployments. Agent management platforms such as Flowise and n8n were discovered internet-exposed without access controls, revealing credential lists and internal workflows. The findings indicate systemic misconfiguration risk as enterprises race to self-host AI infrastructure without applying baseline security practices.

PyTorch Lightning Package Backdoor Steals Developer Credentials

PyTorch Lightning Package Backdoor Steals Developer Credentials

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 BleepingComputer

A malicious version of PyTorch Lightning (v2.6.3) was published to PyPI, embedding a hidden execution chain that silently downloads a JavaScript runtime and executes a heavily obfuscated credential-stealing payload dubbed 'ShaiWorm'. The attack targeted AI/ML developers who use this popular deep learning framework, exposing cloud credentials, API keys, browser-stored secrets, and GitHub tokens. The package has since been reverted to a safe version, but any developer who imported the compromised version should rotate all secrets immediately.

ML Supply Chain Compromise in DoD AI Integration

ML Supply Chain Compromise in DoD AI Integration

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.5 SecurityWeek

The US Department of Defense has formalised agreements with seven major technology companies — including Google, Microsoft, OpenAI, and Amazon Web Services — to integrate AI into classified military networks for battlefield decision support. The move raises significant AI security concerns around human oversight, adversarial manipulation of high-stakes AI systems, and supply chain risks introduced by multiple commercial vendors operating within classified environments. Notably, Anthropic was excluded following a public dispute over AI safety and ethics in warfare.

Loopsy AI Agent Relay Enables Cross-Machine RCE

Loopsy AI Agent Relay Enables Cross-Machine RCE

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 HN AI Security

Loopsy is an open-source tool enabling cross-machine communication between AI coding agents (Claude Code, Cursor, Codex) and mobile devices via a self-hosted Cloudflare Workers relay. While designed for legitimate developer productivity, the architecture introduces significant attack surface: a relay brokering shell access and AI agent commands across machines is a high-value target for interception, hijacking, or supply chain compromise. Security teams should assess exposure before deploying such tools in sensitive development environments.

GPT-5.5 and Mythos Execute 32-Step Network Intrusion

GPT-5.5 and Mythos Execute 32-Step Network Intrusion

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.5 Ars Technica Security

The UK's AI Security Institute (AISI) found that OpenAI's GPT-5.5 matches Anthropic's Mythos Preview on cybersecurity benchmarks, including a 32-step simulated corporate network intrusion. Both models successfully completed the 'The Last Ones' data-extraction simulation — a first for any AI system — suggesting autonomous offensive cyber capability is a general frontier-model property, not a one-vendor breakthrough. The findings raise urgent questions about responsible release practices and the pace at which LLMs can independently execute multi-stage attacks.

AI Agents Exploit Excessive Agency to Delete Production Databases

AI Agents Exploit Excessive Agency to Delete Production Databases

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 6.5 Dark Reading

Organisations are deploying AI agents into production environments without adequate security testing, resulting in destructive outcomes such as unintended deletion of production databases. The core risk is excessive agency granted to AI systems before trust boundaries and guardrails are established. This represents a systemic industry failure to apply basic security principles before integrating autonomous AI tooling into critical infrastructure.

Anthropic Releases Claude Security Vulnerability Scanner

Anthropic Releases Claude Security Vulnerability Scanner

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 SecurityWeek

Anthropic has released Claude Security in public beta, a dedicated vulnerability scanning product aimed at countering the accelerating threat of AI-powered exploitation exemplified by its own Mythos model. The tool integrates directly into Claude Enterprise, scanning repositories for vulnerabilities, providing confidence-rated findings, and generating targeted patches — compressing the security team-to-engineer remediation cycle from days to a single session. The launch reflects a broader industry acknowledgment that frontier AI models in adversarial hands are fundamentally shortening time-to-exploit, forcing defenders to adopt equivalent AI-native tooling.

Account Takeover Protection: OpenAI Hardens ChatGPT Auth

Account Takeover Protection: OpenAI Hardens ChatGPT Auth

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.2 Wired Security

OpenAI has introduced Advanced Account Security, an optional hardened authentication mode for ChatGPT and Codex users who face elevated risk of account takeover, including journalists, dissidents, and researchers. The feature enforces passkey or physical security key authentication, eliminates SMS/email recovery routes, and removes OpenAI support team access to recovery options to block social engineering attacks. Members of OpenAI's Trusted Access for Cyber programme will be mandated to enable it or provide equivalent enterprise SSO attestation by June 1.

GPT-5.5 Matches Claude Mythos in Vulnerability Discovery

GPT-5.5 Matches Claude Mythos in Vulnerability Discovery

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Simon Willison

The UK's AI Security Institute has evaluated OpenAI's GPT-5.5 for offensive cybersecurity capabilities, finding it comparable to Anthropic's Claude Mythos model in identifying security vulnerabilities. Unlike Mythos, GPT-5.5 is generally available, meaning its vulnerability-discovery capabilities are accessible to a broad population including malicious actors. This raises significant concerns about the proliferation of AI-assisted exploitation tools at scale.

Famous Chollima Poisons npm With LLM-Assisted Malware

Famous Chollima Poisons npm With LLM-Assisted Malware

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.5 The Hacker News

North Korean threat group Famous Chollima (Shifty Corsair) has weaponised AI-assisted code generation to embed malicious npm packages into autonomous AI agent projects, targeting cryptocurrency wallets. The campaign, dubbed PromptMink, exploited Anthropic's Claude Opus to co-author a malicious dependency commit, demonstrating a novel abuse of LLM coding agents for supply chain infiltration. The attack uses a multi-layer dependency structure to evade detection, with second-layer malicious packages swiftly rotated when identified.

CVE-2026-42208: LiteLLM SQL Injection Exposes API Keys

CVE-2026-42208: LiteLLM SQL Injection Exposes API Keys

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 The Hacker News

A critical SQL injection vulnerability (CVE-2026-42208, CVSS 9.3) in BerriAI's LiteLLM AI gateway was actively exploited within 36 hours of public disclosure, targeting database tables storing upstream LLM provider API keys including OpenAI, Anthropic, and AWS Bedrock credentials. Attackers demonstrated prior knowledge of LiteLLM's internal schema, selectively probing credential and configuration tables while ignoring user and team tables. The blast radius extends far beyond a typical web-app SQL injection, as successful extraction equates to cloud-account-level compromise across multiple AI provider accounts.

Sevii Cyber Swarm Defense Token Costs Enable DoS Attacks

Sevii Cyber Swarm Defense Token Costs Enable DoS Attacks

ATLAS OWASP MEDIUM Moderate risk · Monitor closely ▲ 6.5 SecurityWeek

Sevii's Cyber Swarm Defense launch highlights a structural tension in enterprise AI security: the token-based cost model of agentic AI defense becomes unpredictable and potentially unsustainable as adversarial attack volume increases. CISOs face a compounding risk where budget exhaustion mid-attack could force a fallback to understaffed human teams. The article also references Claude Mythos as a frontier model enabling higher-volume adversarial campaigns, underscoring the asymmetric cost burden between attackers and defenders.

Agent Hijacking and Prompt Injection Threaten AI Payments

Agent Hijacking and Prompt Injection Threaten AI Payments

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 7.2 Wired Security

The FIDO Alliance, backed by Google and Mastercard, is forming working groups to establish cryptographic standards for authenticating AI agent-initiated transactions, addressing risks like agent hijacking, prompt injection, and unauthorised financial actions. The initiative responds to a growing attack surface where agentic AI systems act on behalf of users without adequate authentication frameworks. Google's Agent Payments Protocol (AP2) and Mastercard's Verifiable Intent framework are being contributed as open-source foundations for the effort.

CVE-2026-42208: LiteLLM SQL Injection Stealing AI Credentials

CVE-2026-42208: LiteLLM SQL Injection Stealing AI Credentials

ATLAS OWASP CRITICAL Active exploitation · Immediate action required ▲ 9.2 BleepingComputer

A critical unauthenticated SQL injection vulnerability (CVE-2026-42208) in LiteLLM, a widely-used LLM proxy and SDK middleware, is being actively exploited to extract API keys, provider credentials, and configuration secrets from the proxy database. Exploitation began within 36 hours of public disclosure, with attackers demonstrating precise targeting of sensitive tables containing OpenAI, Anthropic, and Bedrock credentials. The stolen credentials could enable downstream attacks against AI infrastructure at scale, given LiteLLM's broad adoption across LLM application ecosystems.

Llama Guard 4 Jailbreak Detection Vulnerable to Prompt Injection

Llama Guard 4 Jailbreak Detection Vulnerable to Prompt Injection

ATLAS OWASP LOW Limited impact · Standard review ▲ 7.2 Hugging Face Blog

Meta has released Llama Guard 4, a 12B multimodal safety classifier designed to detect and filter unsafe content in both image and text inputs/outputs for production LLM deployments. The model addresses jailbreak attempts and harmful content generation across 14 hazard categories defined by the MLCommons taxonomy. Alongside it, two lightweight Llama Prompt Guard 2 classifiers (86M and 22M parameters) target prompt injection and prompt attack detection.

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