CVE-2026-0762
📋 TL;DR
This vulnerability allows remote attackers to execute arbitrary code with root privileges on GPT Academic installations by exploiting insecure deserialization in the stream_daas function. Attackers can trigger this by forcing interaction with a malicious DAAS server. All GPT Academic deployments using the vulnerable stream_daas functionality are affected.
💻 Affected Systems
- GPT Academic
📦 What is this software?
Gpt Academic by Binary Husky
⚠️ Risk & Real-World Impact
Worst Case
Remote code execution with root privileges leading to complete system compromise, data theft, lateral movement, and persistent backdoor installation.
Likely Case
Remote code execution leading to application compromise, data exfiltration, and potential privilege escalation to root.
If Mitigated
Limited impact with proper network segmentation, but still potential for application-level compromise if exploited.
🎯 Exploit Status
Exploitation requires interaction with malicious DAAS server but no authentication needed. ZDI-CAN-27956 identifier suggests detailed research exists.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Not specified
Vendor Advisory: https://www.zerodayinitiative.com/advisories/ZDI-26-028/
Restart Required: Yes
Instructions:
1. Monitor GPT Academic vendor for security updates. 2. Apply patch when available. 3. Restart affected services after patching.
🔧 Temporary Workarounds
Disable stream_daas functionality
allTemporarily disable or remove the vulnerable stream_daas function if not required
# Check GPT Academic configuration for stream_daas settings
# Disable or comment out stream_daas related configurations
Restrict DAAS server connections
linuxImplement network controls to only allow connections to trusted DAAS servers
# Use firewall rules to restrict outbound connections
# Example: iptables -A OUTPUT -p tcp --dport [DAAS_PORT] -d [TRUSTED_SERVER] -j ACCEPT
# iptables -A OUTPUT -p tcp --dport [DAAS_PORT] -j DROP
🧯 If You Can't Patch
- Implement strict network segmentation to isolate GPT Academic instances
- Deploy application-level firewalls to monitor and block suspicious deserialization patterns
🔍 How to Verify
Check if Vulnerable:
Check if GPT Academic installation uses stream_daas function and interacts with external DAAS serversCheck Version:
# Check GPT Academic version - method varies by installationVerify Fix Applied:
Verify patch application by checking version and testing that stream_daas no longer accepts untrusted deserialized data📡 Detection & Monitoring
Log Indicators:
- Unusual deserialization errors
- Suspicious outbound connections to unknown DAAS servers
- Unexpected process execution from GPT Academic context
Network Indicators:
- Outbound connections to non-standard DAAS servers
- Unusual data patterns in DAAS protocol traffic
SIEM Query:
source="gpt-academic" AND (event="deserialization_error" OR dest_ip NOT IN [trusted_daas_servers])