CVE-2026-0762

{"id": "CVE-2026-0762", "cveTags": [], "metrics": {"cvssMetricV30": [{"type": "Secondary", "source": "zdi-disclosures@trendmicro.com", "cvssData": {"scope": "UNCHANGED", "version": "3.0", "baseScore": 8.1, "attackVector": "NETWORK", "baseSeverity": "HIGH", "vectorString": "CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H", "integrityImpact": "HIGH", "userInteraction": "NONE", "attackComplexity": "HIGH", "availabilityImpact": "HIGH", "privilegesRequired": "NONE", "confidentialityImpact": "HIGH"}, "impactScore": 5.9, "exploitabilityScore": 2.2}]}, "published": "2026-01-23T04:16:02.973", "references": [{"url": "https://www.zerodayinitiative.com/advisories/ZDI-26-028/", "source": "zdi-disclosures@trendmicro.com"}], "vulnStatus": "Undergoing Analysis", "weaknesses": [{"type": "Primary", "source": "zdi-disclosures@trendmicro.com", "description": [{"lang": "en", "value": "CWE-502"}]}], "descriptions": [{"lang": "en", "value": "GPT Academic stream_daas Deserialization of Untrusted Data Remote Code Execution Vulnerability. This vulnerability allows remote attackers to execute arbitrary code on affected installations of GPT Academic. Interaction with a malicious DAAS server is required to exploit this vulnerability but attack vectors may vary depending on the implementation.\n\nThe specific flaw exists within the stream_daas function. 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-27956."}], "lastModified": "2026-01-26T15:03:51.687", "sourceIdentifier": "zdi-disclosures@trendmicro.com"}