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.
{
"osv_generated_from": "https://github.com/CVEProject/cvelistV5/tree/main/cves/2026/0xxx/CVE-2026-0762.json",
"cna_assigner": "zdi",
"unresolved_ranges": [
{
"source": "AFFECTED_FIELD",
"extracted_events": [
{
"introduced": "3.91"
},
{
"last_affected": "3.91"
}
]
}
],
"cwe_ids": [
"CWE-502"
]
}