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. The 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.
Conclusion & alert: CVE-2026-0764 is rated High Risk (71.2/100): CVSS Critical severity, with medium exploitation likelihood (EPSS 3.81%). Core evidence: EPSS rose +1.14% over the last day, indicating growing attacker interest. Mandatory action: High exploitation likelihood—assess exposure and prioritize 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 | 2026-05-25 | 2.67% | 3.81% | +1.14% |
| 2 | 2026-04-27 | 2.03% | 2.67% | +0.65% |
| 3 | 2026-04-01 | — | 2.03% | — |
Full EPSS history (8 records total)
CVSS metrics for this CVE.
| Base score | Version | Severity | Vector | Exploitability | Impact | Score source |
|---|---|---|---|---|---|---|
| 9.8 | 3.0 | CRITICAL |
|
3.9 | 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-26-030/ | Mitigation Third Party Advisory |