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 314 results — Medium severity, Active exploitationContest 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: JSONReader DoS via recursive JSON parsing
CVE-2025-5472 llama-index Obsidian reader: hardlink path traversal leaks files
CVE-2025-6210 llama-index ArxivReader: MD5 collision corrupts training data
CVE-2025-3044 Transformers: ReDoS in dynamic module loader causes DoS
CVE-2025-3264 Transformers: ReDoS in config loader causes serving DoS
CVE-2025-3263 llama-index: RCE via unsafe pickle deserialization
CVE-2025-3108 LiteLLM: SQL injection in key management API
CVE-2025-45809 n8n: DoS via empty filesystem URI in binary-data API
CVE-2025-49595 Langchain-Chatchat: path traversal in file API exposes host FS
CVE-2025-6854 vLLM: input validation DoS crashes inference worker
CVE-2025-48944 vLLM: ReDoS crashes inference server via malformed regex
CVE-2025-48943 vLLM: DoS via malformed JSON schema guided param
CVE-2025-48942 vLLM: ReDoS in tool parser causes service outage
CVE-2025-48887 transformers: ReDoS in GPT-NeoX Japanese tokenizer
CVE-2025-1194 PyTorch: DoS via ctc_loss resource mishandling
CVE-2025-3730 PyTorch: memory corruption in JIT flatbuffer loader
CVE-2025-3121 PyTorch: lstm_cell memory corruption, local code exec
CVE-2025-3001 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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