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 108 results — Critical severity, has patchdeepseek-tui: prompt injection enables zero-approval RCE
CVE-2026-45311 Flowise: auth RCE via NodeVM sandbox escape
GHSA-9rvc-vf7m-pgm2 openclaude: sandbox bypass allows host-level RCE
CVE-2026-42074 PraisonAI: MCP path traversal escalates to full RCE
CVE-2026-44336 open-webui: LDAP auth bypass — full account takeover
CVE-2026-44551 vm2: sandbox escape via nesting:true enables RCE
CVE-2026-44007 Langflow: path traversal allows arbitrary directory deletion
CVE-2026-42048 Gemini CLI: RCE via malicious workspace in CI/CD
GHSA-wpqr-6v78-jr5g litellm: SQLi exposes all managed LLM API credentials
GHSA-r75f-5x8p-qvmc Flowise: prompt injection → unsandboxed RCE via CSV Agent
CVE-2026-41264 Flowise: prompt injection bypasses Python sandbox RCE
GHSA-v38x-c887-992f OpenClaw: auth bypass enables unauthenticated command exec
GHSA-xh72-v6v9-mwhc PraisonAI: RCE via MCP command injection
GHSA-9qhq-v63v-fv3j Flowise CSVAgent: RCE via Python code injection
GHSA-9wc7-mj3f-74xv Flowise: RCE via MCP stdio command injection
CVE-2026-40933 PraisonAI: auth bypass enables browser session hijack
GHSA-8x8f-54wf-vv92 PraisonAI: RCE via malicious workflow YAML execution
GHSA-vc46-vw85-3wvm PraisonAI: path traversal allows arbitrary file write via recipe unpack
CVE-2026-40157 PraisonAI: supply chain RCE via unverified template exec
CVE-2026-40154 lollms: Stored XSS enables wormable account takeover
CVE-2026-1115 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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