AI Security Threat Feed
Latest CVEs affecting AI/ML systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers. Vulnerabilities are tracked from NVD, GitHub Advisory, CISA KEV, MITRE ATLAS, and enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings to ISO 42001, EU AI Act, NIST AI RMF, and OWASP LLM Top 10. Updated continuously as new CVEs are published.
- CVSS severity
- EPSS exploit probability
- Exploitation confidence
- AI-component classification
- Compliance mappings
AI/ML CVEs Tracked
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Latest AI Security Threats
Showing 20 of 1550 results — no patchlitellm: auth bypass in banned keywords enterprise hook
CVE-2026-12797 litellm: SSO session expiration allows auth persistence
CVE-2026-12796 litellm: SSRF in MCP server exposes cloud metadata
CVE-2026-12774 litellm: session expiration bypass in proxy auth
CVE-2026-12772 litellm: auth bypass in MCP proxy, no credentials required
CVE-2026-12773 litellm: JWT auth bypass in M2M proxy handler
CVE-2026-12771 litellm: auth bypass in Admin Key Handler endpoint
CVE-2026-12770 vLLM: sparse tensor DoS/memory corruption via embeddings
CVE-2026-56340 vLLM: ReDoS via crafted API input causes DoS
CVE-2025-71379 picklescan: FileHandler bypass creates filesystem artifacts
CVE-2026-56304 Flowise: mass assignment enables credential hash override
CVE-2026-56276 Flowise: PII exposure via unauthenticated password reset
CVE-2026-56267 Flowise: XSS enables session hijacking in AI agent UI
CVE-2025-71331 Flowise: RCE and sandbox escape via overrideConfig
CVE-2024-58351 mcp-searxng: SSRF via DNS rebinding in web_url_read
GHSA-mrvx-jmjw-vggc mcp-searxng: DoS via unbounded URL response read
GHSA-xcqx-9jf5-w339 Stanza: pickle fallback bypass enables model RCE
CVE-2026-54499 Mercator: SSRF enables internal network RCE via gopher://
CVE-2026-49345 agentic-flow: MCP tool args enable OS command injection RCE
GHSA-vcv2-r9jh-99m5 line-desktop-mcp: unauthenticated HTTP exposes LINE chats
CVE-2026-49357 Frequently asked questions
What is an AI security threat feed?
An AI security threat feed is a continuously updated stream of vulnerabilities (CVEs) affecting AI and machine-learning systems — LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — filtered out of the broader CVE firehose and enriched for relevance.
Which sources are the AI CVEs tracked from?
CVEs are tracked from NVD, GitHub Advisory, CISA KEV, and MITRE ATLAS, then enriched with CVSS, EPSS, exploitation confidence, AI-component classification, and compliance mappings.
What AI systems do these vulnerabilities affect?
Coverage spans LLM frameworks, ML libraries, AI agents, vector databases, and inference servers — the components most security teams now run in production.
How often is the AI threat feed updated?
The feed updates continuously as new CVEs are published and enriched, so the most recent AI/ML vulnerabilities appear at the top.
Is the AI security feed free?
Yes — the public feed is free to browse. A Pro subscription adds breaking alerts, MITRE ATLAS mappings, compliance reports (ISO 42001, EU AI Act), and full CISO analysis.
Need deeper analysis?
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