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.

Sources

Each CVE is enriched with

CVSS severity
EPSS exploit probability
Exploitation confidence
AI-component classification
Compliance mappings

2,411

AI/ML CVEs Tracked

348

Critical

292

New This Week

In CISA KEV

Sort: Date CVSS EPSS KEV first Most exploited

Filter: All Critical High Medium KEV only Active exploitation Has patch No patch

Latest AI Security Threats

Showing 20 of 851 results — Medium severity

Severity CVE ID Summary CVSS EPSS Package Date

MEDI CVE-2025-49592 n8n: open redirect enables phishing via login flow 5.4 0.2% n8n Jun 26 MEDI CVE-2025-52967 MLflow: unauthenticated SSRF in gateway proxy 5.8 0.4% mlflow Jun 23 MEDI E CVE-2025-48944 vLLM: input validation DoS crashes inference worker 6.5 0.4% vllm May 30 MEDI E CVE-2025-48943 vLLM: ReDoS crashes inference server via malformed regex 6.5 0.4% vllm May 30 MEDI E CVE-2025-48942 vLLM: DoS via malformed JSON schema guided param 6.5 0.5% vllm May 30 MEDI E CVE-2025-48887 vLLM: ReDoS in tool parser causes service outage 6.5 0.4% vllm May 30 MEDI GHSA-j828-28rj-hfhp vllm: ReDoS in inference endpoints enables DoS 4.3 — vllm May 28 MEDI E CVE-2025-1194 transformers: ReDoS in GPT-NeoX Japanese tokenizer 6.5 0.4% transformers Apr 29 MEDI CVE-2025-46343 n8n: stored XSS enables account takeover 5.4 0.2% n8n Apr 29 MEDI E CVE-2025-3730 PyTorch: DoS via ctc_loss resource mishandling 5.5 0.3% pytorch Apr 16 MEDI GHSA-hf3c-wxg2-49q9 vLLM: DoS via unbounded XGrammar schema cache 6.5 — vllm Apr 15 MEDI CVE-2025-32381 xgrammar: unbounded grammar cache causes LLM server DoS 6.5 0.4% xgrammar Apr 9 MEDI GHSA-v7x6-rv5q-mhwc picklescan: bypass allows silent RCE in ML pipelines — — picklescan Apr 7 MEDI GHSA-fj43-3qmq-673f picklescan: numpy bypass enables RCE in ML model pipelines — — picklescan Apr 7 MEDI E CVE-2025-3121 PyTorch: memory corruption in JIT flatbuffer loader 5.5 0.2% pytorch Apr 2 MEDI CVE-2025-31843 OpenAI WP Plugin: broken access control on AI settings 4.3 0.3% — Apr 1 MEDI E CVE-2025-3001 PyTorch: lstm_cell memory corruption, local code exec 5.3 0.2% torch Mar 31 MEDI E CVE-2025-3000 PyTorch: memory corruption in torch.jit.script compiler 5.3 0.2% torch Mar 31 MEDI E CVE-2025-2999 PyTorch: memory corruption in RNN sequence unpacking 5.3 0.2% torch Mar 31 MEDI E CVE-2025-2998 PyTorch: memory corruption in RNN pad_packed_sequence 5.3 0.2% torch Mar 31

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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