CVE-2026-0762
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. The 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.
Published:Jan 23, 2026
Last Modified:Apr 18, 2026
EPS:Jan 23, 2026
EPSS Score:0.00494
CVSS Score:8.1
Affected Products
Vendor
Product
Action
Vendor
Binary-husky
Product
Gpt Academic
Binary-husky
Gpt Academic
Vendor
Gpt Academic Project
Product
Gpt Academic
Gpt Academic Project
Gpt Academic
Exploits
No exploit reference
Common Weakness Enumeration
Common Attack Pattern Enumeration and Classification (CAPEC)
Related CVEs
Common Vulnerability Scoring System
Attack Vector
Network
Adjacent
Local
Physical
Privileges Required
None
Low
High
User Interaction
None
Required
Scope
Unchanged
Changed
Confidentiality
None
Low
High
Integrity
None
Low
High
Availability
None
Low
High
