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 1527 results — Medium severityLangflow: improper access control exposes sensitive data
CVE-2026-101329LangChain MongoDB: NoSQL injection exposes chat histories
CVE-2026-106119vLLM: penalty handler flaw allows remote DoS
CVE-2026-105922Langflow: SSRF in built-in components exposes cloud metadata
GHSA-j8f7-x8jm-wmm4vLLM: OOB read in Mamba2 mixer enables remote DoS
CVE-2026-105775vLLM: unbounded video frame decoding enables DoS
CVE-2026-105758vLLM: unbounded video frame options enable DoS
CVE-2026-105760vLLM: input validation flaws let attacker crash EngineCore
CVE-2026-105754vLLM: unhandled structured-output errors crash engine (DoS)
CVE-2026-105757vLLM: request-ID cache key collision corrupts rerank scores
CVE-2026-105755vLLM: unvalidated cache_salt crashes EngineCore (DoS)
CVE-2026-105756OpenClaw channels: allowlist bypass exposes chat reads
GHSA-g7fw-3gjp-g5hfvLLM: reachable assertion in cache causes DoS
CVE-2026-105753Joplin Server: reset-token reuse enables account takeover
CVE-2026-105785Joplin: CSS injection via jsoncanvas note rendering
CVE-2026-105784Langflow: missing flow ownership check exposes private flows
CVE-2026-105698SiYuan: history/repo-diff routes skip secret-file guard
GHSA-3cm4-ccvw-6xr6SiYuan MCP: asset.upload reads arbitrary host files
GHSA-p23f-cm6q-2qp8SiYuan: info disclosure via getNotebookInfo endpoint
CVE-2026-103763SiYuan: missing authz leaks hidden notebook IDs
CVE-2026-103762Frequently 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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