GPT Academic run_in_subprocess_wrapper_func deserialization
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 9.8 | $0-$5k | 0.00 |
Summary
A vulnerability was found in GPT Academic. It has been classified as very critical. This affects the function run_in_subprocess_wrapper_func. The manipulation leads to deserialization.
This vulnerability is documented as CVE-2026-0763. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability was found in GPT Academic (unknown version) and classified as very critical. This issue affects the function run_in_subprocess_wrapper_func. The manipulation with an unknown input leads to a deserialization vulnerability. Using CWE to declare the problem leads to CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
GPT Academic run_in_subprocess_wrapper_func 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 run_in_subprocess_wrapper_func 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-27958.
It is possible to read the advisory at zerodayinitiative.com. The identification of this vulnerability is CVE-2026-0763. The exploitation is known to be easy. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. Technical details of the vulnerability are known, but there is no available exploit. The pricing for an exploit might be around USD $0-$5k at the moment (estimation calculated on 01/25/2026).
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Name
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 9.8VulDB Meta Temp Score: 9.8
VulDB Base Score: 9.8
VulDB Temp Score: 9.8
VulDB Vector: 🔒
VulDB Reliability: 🔍
CNA Base Score: 9.8
CNA Vector: 🔒
CVSSv2
| AV | AC | Au | C | I | A |
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| 💳 | 💳 | 💳 | 💳 | 💳 | 💳 |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
EPSS Score: 🔒
EPSS Percentile: 🔒
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Timeline
01/09/2026 Advisory disclosed01/09/2026 VulDB entry created
01/25/2026 VulDB entry last update
Sources
Advisory: zerodayinitiative.comStatus: Not defined
CVE: CVE-2026-0763 (🔒)
GCVE (CVE): GCVE-0-2026-0763
GCVE (VulDB): GCVE-100-340331
Entry
Created: 01/09/2026 18:08Updated: 01/25/2026 02:13
Changes: 01/09/2026 18:08 (47), 01/25/2026 02:13 (10)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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