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 826 results — has patchpraisonai-platform: IDOR exposes cross-tenant activity logs
CVE-2026-47408 praisonai-platform: IDOR allows full workspace takeover
CVE-2026-48169 PraisonAI: arbitrary file write via hidden webpage metadata
CVE-2026-47397 PraisonAI: Unauth RCE via A2A eval injection
CVE-2026-47391 PraisonAI: MCP path traversal exfiltrates host credentials
CVE-2026-47394 praisonaiagents: RCE via Python sandbox bypass
CVE-2026-47392 PraisonAI: SSRF via @url mention exposes localhost services
CVE-2026-47395 PraisonAI: auth bypass in deployed API exposes LLM + tools
CVE-2026-47393 PraisonAI: fail-open auth exposes remote agent control API
CVE-2026-47396 PraisonAI: SSRF bypass via loopback alias encodings
CVE-2026-47390 PraisonAI: RCE via ungated exec_module in agent config
CVE-2026-47398 Shopper: auth bypass enables full checkout shutdown
CVE-2026-47745 Shopper: RBAC bypass allows full admin takeover
CVE-2026-47744 Shopper: authz bypass lets any user mutate product data
CVE-2026-47742 CAPM3: cross-namespace auth bypass exposes K8s secrets
GHSA-rf84-wr5g-m3rp Froxlor: symlink-following grants customer root SSH access
CVE-2026-41236 Froxlor: shell whitelist bypass grants host shell access
CVE-2026-41235 nono-cli: sandbox escape via Unix socket bypass
CVE-2026-47128 local-deep-research: SSRF via URL parser differential bypass
CVE-2026-46526 langroid: Prompt-to-SQL injection enables RCE on DB host
CVE-2026-25879 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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