CVE-2024-10986

{"id": "CVE-2024-10986", "cveTags": [], "metrics": {"cvssMetricV30": [{"type": "Secondary", "source": "[email protected]", "cvssData": {"scope": "UNCHANGED", "version": "3.0", "baseScore": 8.8, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "LOW", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 2.8}]}, "published": "2025-03-20T10:15:22.597", "references": [{"url": "https://huntr.com/bounties/db2167f5-f17f-491d-aeec-69ba55bf6427", "tags": ["Exploit", "Third Party Advisory"], "source": "[email protected]"}], "vulnStatus": "Modified", "weaknesses": [{"type": "Primary", "source": "[email protected]", "description": [{"lang": "en", "value": "CWE-59"}]}], "descriptions": [{"lang": "en", "value": "GPT Academic version 3.83 is vulnerable to a Local File Read (LFI) vulnerability through its HotReload function. This function can download and extract tar.gz files from arxiv.org. Despite implementing protections against path traversal, the application overlooks the Tarslip triggered by symlinks. This oversight allows attackers to read arbitrary local files from the victim server."}, {"lang": "es", "value": "La versi\u00f3n 3.83 de GPT Academic es vulnerable a una vulnerabilidad de lectura local de archivos (LFI) a trav\u00e9s de su funci\u00f3n HotReload. Esta funci\u00f3n puede descargar y extraer archivos tar.gz de arxiv.org. A pesar de implementar protecciones contra el path traversal, la aplicaci\u00f3n ignora el Tarslip activado por enlaces simb\u00f3licos. Esta omisi\u00f3n permite a los atacantes leer archivos locales arbitrarios del servidor v\u00edctima."}], "lastModified": "2025-10-15T13:15:38.403", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:binary-husky:gpt_academic:3.83:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "63F16447-B71B-4EAC-9ABD-EA8B4D131601"}], "operator": "OR"}]}], "sourceIdentifier": "[email protected]"}