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 2876 results — no patchPraisonAI: allowlist bypass in shell() enables RCE
CVE-2026-57133PraisonAI: DNS rebinding exposes MCP SSE tool calls
CVE-2026-57112vLLM: chat_template abuse causes resource exhaustion
CVE-2026-90878wandb: path traversal enables arbitrary file write
CVE-2026-91771Bagisto: privilege escalation to full admin via role change
CVE-2026-79411Concrete CMS: stored XSS in alias name enables privilege escalation
CVE-2026-18117Langflow: SSRF-driven root RCE via component imports
CVE-2026-12944LobsterAI: SSRF in browser network config sync
CVE-2026-90818Concrete CMS: CSRF in removeOrphanedBlocks deletes page content
CVE-2026-81902IBM Cognos Analytics: stored XSS via profile name fields
CVE-2026-7884Langflow: unauthenticated SSRF enables internal probing
CVE-2026-12767Langflow: SSRF allows internal network probing
CVE-2026-12766Langflow: unauthenticated SSRF enables internal network probing
CVE-2026-12765Langflow: MCP cache isolation flaw leaks user context
CVE-2026-12763tract-nnef: integer overflow enables heap OOB read, crash
CVE-2026-55093Langflow: improper auth allows account password change
CVE-2026-17628MCP Atlassian: DNS rebinding SSRF reaches cloud metadata
CVE-2026-73497MCP Atlassian: path traversal enables server file disclosure
CVE-2026-73496dd-trace-java: baggage header parsing causes DoS
CVE-2026-50270Filament Comments: stored XSS via admin panel
CVE-2026-90943Frequently 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?
Get ATLAS technique mappings, compliance reports (ISO 42001, EU AI Act), breaking alerts, and full CISO analysis with a Pro subscription.
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