{"data":{"id":"548b7bc4-bb8c-4898-9c31-342136294a65","title":"CVE-2026-0848: NLTK versions <=3.9.2 are vulnerable to arbitrary code execution due to improper input validation in the StanfordSegment","summary":"NLTK (Natural Language Toolkit, a Python library for text processing) versions 3.9.2 and earlier have a serious vulnerability in the StanfordSegmenter module, which loads external Java files without checking if they are legitimate. An attacker can trick the system into running malicious code by providing a fake Java file, which executes when the module loads, potentially giving them full control over the system.","solution":"N/A -- no mitigation discussed in source.","labels":["security"],"sourceUrl":"https://nvd.nist.gov/vuln/detail/CVE-2026-0848","publishedAt":"2026-03-05T21:16:14.263Z","cveId":"CVE-2026-0848","cweIds":["CWE-20"],"cvssScore":null,"cvssSeverity":null,"severity":"critical","attackType":["model_poisoning","supply_chain"],"issueType":"vulnerability","affectedPackages":null,"affectedVendors":[],"affectedVendorsRaw":["NLTK"],"classifierModel":"claude-haiku-4-5-20251001","classifierPromptVersion":"v3","cvssVector":null,"attackVector":null,"attackComplexity":null,"privilegesRequired":null,"userInteraction":null,"exploitMaturity":"unknown","epssScore":0.00408,"patchAvailable":null,"disclosureDate":null,"capecIds":null,"crossRefCount":0,"attackSophistication":"moderate","impactType":["integrity","confidentiality","availability"],"aiComponentTargeted":"framework","llmSpecific":false,"classifierConfidence":0.95,"researchCategory":null,"atlasIds":null}}