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 1010 results — Active exploitation, no patchPraisonAI: AICoder root RCE via unsanitized tool calls
CVE-2026-61445 PraisonAI Platform: workspace members bypass owner authz
CVE-2026-61442 PraisonAI: umbral de bloqueo mal configurado permite prompt injection
CVE-2026-61439 PraisonAI: SSRF bypass via DNS rebinding/redirects
CVE-2026-61429 PraisonAI: webhook signature bypass enables spoofing
CVE-2026-61428 PraisonAI: insecure defaults expose agent secrets
CVE-2026-61426 PraisonAI: SQL/CQL injection via unvalidated vector dim
CVE-2026-60090 PraisonAI: path traversal leaks files into LLM prompts
CVE-2026-60088 mcp-server-kubernetes: arg injection exfils bearer token
CVE-2026-61459 PraisonAI: code injection via f-string in deploy API
CVE-2026-61444 PraisonAI: IDOR lets members delete owner dependencies
CVE-2026-61441 PraisonAI: unsafe dynamic import enables RCE
CVE-2026-61437 PraisonAI: allowlist bypass enables RCE via find -exec
CVE-2026-61434 PraisonAI: FastContext path traversal leaks host files
CVE-2026-61432 PraisonAI: path traversal leaks arbitrary files
CVE-2026-61431 PraisonAI: SSRF via webhook_url DNS rebinding
CVE-2026-60091 PraisonAI: config.toml path traversal overwrites files
CVE-2026-60089 PraisonAI: injection filter bypass at HIGH threat level
CVE-2026-60086 SiYuan: broken access control leaks private note data
CVE-2026-59853 OpenClaw Android: command injection via WebView bridge
CVE-2026-15193 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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