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 297 results — Critical severity, no patchPraisonAI: code injection via f-string in deploy API
CVE-2026-61444 mem0: unauth config API leaks API keys + SSRF
CVE-2026-59706 9Router: no-auth API leaks keys, chats, provider control
GHSA-vjc7-jrh9-9j86 fickling: shared-state bug disables ML pickle allowlist check
CVE-2026-14535 Feast: unauth file write to RCE via /save-document
CVE-2026-23537 Flowise: hardcoded default secret enables session forgery
CVE-2026-56278 Langflow: weak reversible KDF exposes all stored credentials
CVE-2026-7874 Langflow: authenticated RCE enables credential theft
CVE-2026-7873 Langflow: Redis-access deserialization enables full RCE
CVE-2026-7871 Langflow: malformed flow nodes enable RCE
CVE-2026-7803 Langflow: auth bypass in MCP transport exposes projects
CVE-2026-7663 Langflow: missing auth on build API leaks data, enables DoS
CVE-2026-10560 Langflow: cross-tenant API credential leak via cache bug
CVE-2026-10140 Langflow: unauthenticated RCE via tool_code injection
CVE-2026-10134 semantic-router: unpinned litellm dep pulls malware wheel
GHSA-98x5-vq43-vc5p Flowise: unauthenticated file write enables RCE
CVE-2025-71338 Flowise: unauthenticated RCE via Custom MCP endpoint
CVE-2025-71336 Flowise: path traversal → RCE via missing UUID validation
CVE-2025-71334 Flowise: unauth file upload + path traversal enables RCE
CVE-2025-71333 Flowise: auth bypass grants full API access
CVE-2025-71327 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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