CVE-2026-0764

{"id": "CVE-2026-0764", "cveTags": [], "metrics": {"cvssMetricV30": [{"type": "Secondary", "source": "zdi-disclosures@trendmicro.com", "cvssData": {"scope": "UNCHANGED", "version": "3.0", "baseScore": 9.8, "attackVector": "NETWORK", "baseSeverity": "CRITICAL", "vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "LOW", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 3.9}]}, "published": "2026-01-23T04:16:03.250", "references": [{"url": "https://www.zerodayinitiative.com/advisories/ZDI-26-030/", "tags": ["Mitigation", "Third Party Advisory"], "source": "zdi-disclosures@trendmicro.com"}], "vulnStatus": "Analyzed", "weaknesses": [{"type": "Primary", "source": "zdi-disclosures@trendmicro.com", "description": [{"lang": "en", "value": "CWE-502"}]}], "descriptions": [{"lang": "en", "value": "GPT Academic upload Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Authentication is not required to exploit this vulnerability.\n\nThe specific flaw exists within the upload endpoint. The issue results from the lack of proper validation of user-supplied data, which can result in deserialization of untrusted data. An attacker can leverage this vulnerability to execute code in the context of root. Was ZDI-CAN-27957."}], "lastModified": "2026-02-18T16:42:46.297", "configurations": [{"nodes": [{"negate": false, "cpeMatch": [{"criteria": "cpe:2.3:a:binary-husky:gpt_academic:3.91:*:*:*:*:*:*:*", "vulnerable": true, "matchCriteriaId": "E6552037-FD85-48BB-A474-C85A10783308"}], "operator": "OR"}]}], "sourceIdentifier": "zdi-disclosures@trendmicro.com"}