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 1164 results — Active exploitation, no patchPraisonAI: sandbox bypass leaks agent internals
CVE-2026-57120 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 ESPnet: RCE via unsafe checkpoint deserialization
CVE-2026-90777 Open Notebook: SSRF via source URL hits internal services
CVE-2026-90769 Flowise: IDOR in abort API enables agent DoS
CVE-2026-90535 Flowise: IDOR exposes org owner's password hash
CVE-2026-90533 WPBot: unauthenticated AJAX abuse drains AI API budget
CVE-2026-87918 WPBot: missing auth check leaks chat visitor PII
CVE-2026-87916 Mistral Vibe: env-var trick bypasses command allowlist
CVE-2026-87987 Headroom: CSWSH bypass allows unauthenticated LLM abuse
CVE-2026-71416 SiYuan: stored XSS in notebook template paths
CVE-2026-87811 MLflow: malicious model artifact enables RCE on load
CVE-2026-79721 Ollama: integer overflow in GGUF decoder causes DoS
CVE-2026-86289 Pterodactyl Panel: subuser escalation to console RCE
CVE-2026-86177 LLaMA-Factory: SSRF guard bypass via redirect/DNS rebind
CVE-2026-85673 tokenizers: malformed vocab crashes process (DoS)
CVE-2026-85670 OGX/Llama Stack: SSRF via MCP tool server_url
CVE-2026-85666 csv-parse: CSV header triggers prototype pollution
CVE-2026-85063 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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