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 229 results — Critical severity, no patchtorch-checkpoint: unsafe pickle deserialization RCE
CVE-2026-31214 Flowise: SSRF in agent tools bypasses security wrapper
CVE-2026-43995 cline: WebSocket auth bypass enables terminal RCE
CVE-2026-44211 LiteLLM: SQL injection exposes LLM API credentials
CVE-2026-42208 Ollama: heap OOB read leaks API keys and chat data
CVE-2026-7482 Ollama: path traversal + unsigned update = silent RCE
CVE-2026-42249 Ollama: silent auto-update bypasses signature check on Windows
CVE-2026-42248 Flowise: Cypher injection via GraphCypherQAChain node
CVE-2026-41274 KTransformers: pickle RCE via unauthenticated ZMQ socket
CVE-2026-26210 Flowise: auth bypass enables full account takeover via reset
CVE-2026-41276 Flowise: unauthenticated RCE via NODE_OPTIONS env injection
CVE-2026-41268 Flowise: mass assignment auth bypass in registration
CVE-2026-41267 Flowise: RCE via prompt injection in Airtable Agent
CVE-2026-41265 OpenAI Codex CLI: RCE via malicious MCP config files
CVE-2025-61260 Claude Code: OS command injection, credential theft
CVE-2026-35022 Budibase: Unauthenticated RCE as root via webhook
CVE-2026-35216 MLflow: auth bypass in job API enables unauthenticated RCE
CVE-2026-0545 OpenClaw: scope bypass escalates low-priv to admin
CVE-2026-33579 OpenClaw: RCE via unsanitized iMessage SCP paths
CVE-2026-32917 OpenClaw: auth bypass enables unauth agent execution
CVE-2026-32916 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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