{"data":{"id":"066e2ed2-72d0-4726-8f94-682d366a7c87","title":"CVE-2026-15976: SGLang contains a RCE vulnerability when attempting to load model weights from a HuggingFace repository, specifically wi","summary":"SGLang, a software library for working with large language models, has a remote code execution vulnerability (RCE, where an attacker can run commands on a system they don't control) when loading model weights from HuggingFace. The vulnerability occurs because the code uses torch.load() with an unsafe setting that allows pickle deserialization (a process that can execute malicious code hidden in data files) of .bin files from the /update_weights_from_disk function.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-15976","publishedAt":"2026-07-30T19:17:08.793Z","cveId":"CVE-2026-15976","cweIds":null,"cvssScore":null,"cvssSeverity":null,"severity":"high","attackType":["model_theft","supply_chain"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":["HuggingFace"],"affectedVendorsRaw":["SGLang","HuggingFace","PyTorch"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0,"patchAvailable":null,"disclosureDate":"2026-07-30T19:17:08.793Z","capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["confidentiality","integrity"],"aiComponentTargeted":"model","llmSpecific":true,"classifierConfidence":0.85,"researchCategory":null,"atlasIds":["AML.T0010"]}}