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.
Conclusion & alert: CVE-2026-0762 is rated Moderate Risk (54.8/100): CVSS High severity, with medium exploitation likelihood (EPSS 0.47%). Mandatory action: Review affected assets and schedule remediation.
Risk is dynamic; we continuously reassess and refresh what is shown on this page as upstream context changes.
EPSS lead: Daily EPSS estimates relative likelihood of exploitation; percentile ranks this CVE among scored vulnerabilities (higher = more severe relative rank).
| # | Date | Old EPSS score | New EPSS score | Delta (New - Old) |
|---|---|---|---|---|
| 1 | 2026-06-07 | 0.79% | 0.47% | -0.32% |
| 2 | 2026-05-25 | 0.47% | 0.79% | +0.32% |
| 3 | 2026-02-24 | — | 0.47% | — |
Full EPSS history (6 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 8.1 | 3.0 | HIGH |
|
2.2 | 5.9 | [email protected] |
| Vendor | Product | Version | Raw CPE |
|---|---|---|---|
| binary-husky | gpt_academic | 3.91 | cpe:2.3:a:binary-husky:gpt_academic:3.91:*:*:*:*:*:*:* |
| URL | Tags |
|---|---|
| https://www.zerodayinitiative.com/advisories/ZDI-26-028/ | Mitigation Third Party Advisory |