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 1074 results — Active exploitationTransformers: ReDoS in TF-to-PyTorch weight converter
CVE-2025-5197 ChatGLM-Webui: arbitrary file read, no auth required
CVE-2025-45150 BentoML: unauthenticated SSRF via file upload URLs
CVE-2025-54381 LangChain GmailToolkit: indirect prompt injection to RCE
CVE-2025-46059 smolagents: sandbox escape enables unauthenticated RCE
CVE-2025-5120 skops: RCE via MethodNode unsafe deserialization
CVE-2025-54413 skops: OperatorFuncNode type confusion → RCE
CVE-2025-54412 Ollama: auth token hijack via crafted WWW-Authenticate
CVE-2025-51471 Dagster: path traversal exposes arbitrary file read via gRPC
CVE-2025-51481 Transformers: ReDoS in DonutProcessor causes DoS
CVE-2025-3933 Contest Gallery WP Plugin: Stored XSS in OpenAI integration
CVE-2025-6716 OpenAI Operator: fullscreen spoofing captures credentials
CVE-2025-7021 llama-index: DocugamiReader MD5 hash collision drops chunks
CVE-2025-6211 llama_index: path traversal allows arbitrary file read
CVE-2025-6209 llama-index Obsidian reader: hardlink path traversal leaks files
CVE-2025-6210 llama-index: JSONReader DoS via recursive JSON parsing
CVE-2025-5472 llama-index Papers Loader: XML expansion DoS
CVE-2025-3225 LlamaIndex Obsidian: symlink traversal exposes host files
CVE-2025-3046 llama-index ArxivReader: MD5 collision corrupts training data
CVE-2025-3044 Transformers: URL validation bypass exposes image pipeline
CVE-2025-3777 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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