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 1564 results — no patchPyTorch: DoS in linalg.lu via malformed slice op
CVE-2025-55551 PyTorch: Dropout inconsistency enables membership inference
CVE-2025-46153 PyTorch: OOB write causes incorrect bitwise shift results
CVE-2025-46152 PyTorch: torch.compile silent output inconsistency
CVE-2025-46150 PyTorch: reachable assertion in nn.Fold with inductor
CVE-2025-46149 PyTorch: PairwiseDistance silent miscalculation, integrity risk
CVE-2025-46148 A flaw was found in Libtiff. This vulnerability is a "write-what-where" condition, triggered when the library processes a specially crafted TIFF image file....
CVE-2025-9900 Transformers: ReDoS in optimizer halts training pipelines
CVE-2025-6921 OpenAI Codex CLI: sandbox escape via model-generated cwd
CVE-2025-59532 Flowise: Unauthenticated RCE via MCP config injection
CVE-2025-59528 Flowise: unauthenticated SSRF exposes internal network
CVE-2025-59527 Flowise Cloud: cross-tenant env var exposure leaks API keys
CVE-2025-59434 Keras: safe_mode bypass enables RCE via model load
CVE-2025-9906 Keras: safe_mode bypass enables RCE via .h5 model files
CVE-2025-9905 picklescan: file extension bypass allows model RCE
CVE-2025-10155 n8n: stored XSS in LangChain chat trigger (public)
CVE-2025-58177 Transformers: ReDoS in EnglishNormalizer exhausts CPU
CVE-2025-6051 Flowise: auth bypass in reset flow allows full ATO
CVE-2025-58434 langchaingo: Jinja2 SSTI allows host filesystem read
CVE-2025-9556 HuggingFace Transformers: ReDoS in MarianTokenizer
CVE-2025-6638 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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