| ID |
CVE-2026-0762
|
| Sažetak |
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. |
| Reference |
|
| CVSS |
| Base: | 8.1 |
| Impact: | 5.9 |
| Exploitability: | 2.2 |
|
| Pristup |
| Vektor | Složenost | Autentikacija |
| NETWORK |
HIGH |
NONE |
|
| Impact |
| Povjerljivost | Cjelovitost | Dostupnost |
| HIGH |
HIGH |
HIGH |
|
| CVSS vektor |
CVSS:3.0/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:H |
| Zadnje važnije ažuriranje |
26-01-2026 - 15:03 |
| Objavljeno |
23-01-2026 - 04:16 |
