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 1042 results — High severity, no patchSiYuan versions before 3.8.3 contain an SQL injection vulnerability in the graph.go query2Stmt function where tag values are concatenated raw into SQL string...
CVE-2026-93591 vLLM through 0.29.0 fails to properly clean up decode-side metadata for rejected inference requests in prefill/decode disaggregated deployments. Remote...
CVE-2026-93436 Vvveb is a powerful and easy to use CMS with page builder to build websites, blogs or ecommerce stores. Prior to 1.0.8.5, the oEmbedProxy() handler in...
CVE-2026-54507 A stored cross-site scripting vulnerability in the Geomap panel's MapLibre base layer allows a user with the Editor role to execute arbitrary JavaScript in...
CVE-2026-76154 SiYuan before 3.8.4 renders document titles as HTML in the backlink dock tree without escaping markup characters. Attackers can set malicious titles through...
CVE-2026-92986 SiYuan versions before 3.8.4 fail to escape bookmark labels imported from notebook files when rendering them in the dock tree. Attackers can craft malicious...
CVE-2026-92985 InternLM LMDeploy through 0.17.0 in DistServe prefill/decode disaggregation mode fails to release scheduler sessions because the proxy uses user-facing session...
CVE-2026-92983 InternLM LMDeploy through 0.17.0 contains a reachable assertion vulnerability in the DistServe decode migration loop that allows unauthenticated attackers to...
CVE-2026-92971 A flaw was found in Redis community. The cluster bus packet parser, responsible for handling PING, PONG, and MEET packets, fails to properly validate...
CVE-2026-92925 LightGBM through 4.7.0 fails to validate child and split array values when parsing text models, allowing attackers to write out-of-bounds memory during SHAP...
CVE-2026-92786 Pelican Panel versions before 1.0.0-beta35 enforce startup write permissions only through disabled form controls rather than server-side authorization checks....
CVE-2026-92762 @zereight/mcp-gitlab has multiple safety-control bypasses: execute_graphql read-only + allow-list bypass, unauthenticated transports, session-exhaustion DoS
GHSA-5648-rgj9-v224 Concrete CMS 9 (9.0.0 through 9.5.2) does not perform an authorization check on the user selector autocomplete endpoint (/ccm/system/user/autocomplete), which...
CVE-2026-18110 Flowise versions before 3.1.4 contain a server-side request forgery vulnerability in Cheerio, Playwright, and Puppeteer document loader nodes that bypass SSRF...
CVE-2026-91938 Flowise before 3.1.4 fails to sanitize the overrideConfig.sessionId parameter before using it in MongoDB queries within the MongoDBMemory node. Unauthenticated...
CVE-2026-91937 Flowise before 3.1.4 fails to validate baseURL parameters in chat-model nodes, allowing authenticated users to redirect requests to arbitrary hosts. Attackers...
CVE-2026-91935 Flowise versions before 3.1.4 fail to validate file paths in the SQL Database Chain node when connecting to SQLite databases, allowing authenticated attackers...
CVE-2026-91934 Flowise before 3.1.4 fails to enforce workspace-level authorization checks in openai-realtime endpoints, allowing authenticated users to access tools from...
CVE-2026-91933 Flowise before 3.1.4 contains a validation bypass vulnerability in MCP server configuration allowing authenticated attackers remote code execution through an...
CVE-2026-91932 Flowise before 3.1.4 contains a remote code execution vulnerability in the Custom MCP node that allows authenticated attackers to execute arbitrary code by...
CVE-2026-91931 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.
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