{"data":{"id":"1f2a3880-a756-485f-83a9-536ad5812b1d","title":"GHSA-3hmm-rh5q-gwwr: LMDeploy vulnerable to arbitrary code execution via eval() of untrusted quant_dtype in model config loading","summary":"LMDeploy (a tool for deploying large language models) has a critical vulnerability in how it loads model configurations from HuggingFace. When loading a model, the software uses eval() (a Python function that executes code from text) on an untrusted value called quant_dtype without checking if it's safe. An attacker can publish a malicious model on HuggingFace with crafted code hidden in the quant_dtype field, allowing them to run arbitrary commands on any computer that loads the model using LMDeploy.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://github.com/advisories/GHSA-3hmm-rh5q-gwwr","publishedAt":"2026-09-18T17:04:01.000Z","cveId":"CVE-2026-33625","cweIds":null,"cvssScore":null,"cvssSeverity":"high","severity":"high","attackType":["supply_chain"],"issueType":"vulnerability","affectedPackages":["lmdeploy@>= 0.12.1, < 0.12.3 (fixed: 0.12.3)"],"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["LMDeploy","HuggingFace","InternLM"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0,"patchAvailable":true,"disclosureDate":"2026-09-18T17:04:01.000Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","confidentiality","availability"],"aiComponentTargeted":"framework","llmSpecific":true,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":["AML.T0010"]}}