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 1908 results — High severityLangflow: unsafe cache deserialization allows code execution
CVE-2026-93447Langflow: code injection allows authenticated RCE
CVE-2026-93445Langflow: code injection allows authenticated RCE
CVE-2026-93443Langflow: authenticated code injection allows RCE
CVE-2026-88962Langflow OSS: improper access control enables RCE
CVE-2026-104335Coraza WAF: ARGS limit silent drop bypasses WAF rules
CVE-2026-41510Knowns: untrusted LSP binary path allows code execution
CVE-2026-86540simple-git: command injection via git clone config bypass
CVE-2026-102826vm2: unhandled Promise rejection in construct trap kills host
CVE-2026-100722Joplin Server: app-auth flaw enables account takeover
CVE-2026-105786vLLM: unbounded metrics labels allow memory-exhaustion DoS
CVE-2026-105759Joplin: Web Clipper CORS flaw leaks permanent API token
CVE-2026-105783fsspec: Jinja2 SSTI in Kerchunk refs allows RCE
CVE-2026-104851vm2: unhandled host Promise rejection crashes Node host
CVE-2026-92954Langflow: X-Forwarded-For spoof lets users write MCP config
CVE-2026-105741Langflow: cross-tenant file read via MCP resources/read
CVE-2026-105699OpenAM: unauthenticated class instantiation via JAX-RPC
CVE-2026-105115Formwork: path traversal in backups reads/deletes files
CVE-2026-104478SiYuan: DNS-rebinding SSRF bypass in AI agent tools
GHSA-x8gv-g2g3-65fjPraxis: HTTP/2 HPACK bomb enables memory-exhaustion DoS
GHSA-cjcg-cxmh-9wcrFrequently 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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