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 3035 resultsOpenClaw: eval approval bypass enables unintended code exec
GHSA-q2gc-xjqw-qp89 n8n-MCP: SSRF exposes cloud metadata via MCP headers
CVE-2026-39974 libcap: TOCTOU race in cap_set_file() enables privesc
CVE-2026-4878 OpenClaw: env var injection enables host RCE
GHSA-7437-7hg8-frrw OpenClaw: wake hook trust violation elevates to System prompt
GHSA-jf56-mccx-5f3f openclaw: trust boundary bypass enables prompt injection
GHSA-gfmx-pph7-g46x PraisonAI: RCE via shell injection in agent workflows
GHSA-2763-cj5r-c79m LangChain: f-string template injection exposes object internals
GHSA-926x-3r5x-gfhw Marimo: pre-auth RCE via terminal WebSocket
GHSA-2679-6mx9-h9xc OpenClaw: request body replay leaks credentials via redirect
CVE-2026-40037 openai-realtime-ui: SSRF in API proxy endpoint
CVE-2026-5803 n8n-mcp: authenticated SSRF leaks cloud metadata
GHSA-4ggg-h7ph-26qr praisonaiagents: agent context leak + path traversal
GHSA-766v-q9x3-g744 praisonai: SSTI enables RCE via agent instructions
CVE-2026-39891 PraisonAI: unauth A2U stream leaks all agent activity
CVE-2026-39889 praisonaiagents: sandbox escape enables host RCE
CVE-2026-39888 PraisonAI: YAML deserialization enables unauthenticated RCE
CVE-2026-39890 LobeChat: auth bypass via forged XOR obfuscated header
CVE-2026-39411 lollms: sessions persist after password reset
CVE-2026-1163 Langflow: deserialization RCE via FAISS component default
CVE-2026-3357 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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