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 2345 results — no patchPraisonAI: no-auth API exposes agent execution
CVE-2026-57131 PraisonAI: auth middleware fails open, exposes agents
CVE-2026-57127 PraisonAI: unauth RCE via MCP connect endpoint
CVE-2026-57124 PraisonAI: missing HMAC check lets forged bot events
CVE-2026-57122 PraisonAI: path traversal exposes local files
CVE-2026-57119 PraisonAI: path traversal escapes agent workspace sandbox
CVE-2026-56839 PraisonAI: IMAP injection via unsanitized email tool params
CVE-2026-57130 PraisonAI: path traversal exposes arbitrary files
CVE-2026-57129 PraisonAI: SSE server auth bypass exposes config, events
CVE-2026-57128 PraisonAI: SpiderTools SSRF bypass via DNS resolution
CVE-2026-57126 PraisonAI: unauth RCE via YAML approval bypass
CVE-2026-57125 PraisonAI: unauthenticated MCP tool server enables RCE
CVE-2026-57123 PraisonAI: sandbox bypass leaks agent internals
CVE-2026-57120 PraisonAI: SSRF via unvalidated redirects in scrape_page
CVE-2026-57115 vLLM: local DoS via malformed tiktoken vocab file
CVE-2026-90713 CrewAI before fb2323b offers a Python blocklist approach that operates at the wrong level of abstraction, a different vulnerability than CVE-2026-2275....
CVE-2026-37008 Flowise: SSRF via Host/X-Forwarded-Proto in Evaluations
CVE-2026-90580 DataEase: stored XSS in chart tooltip config
CVE-2026-90529 ESPnet: RCE via unsafe checkpoint deserialization
CVE-2026-90777 Open Notebook: SSRF via source URL hits internal services
CVE-2026-90769 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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