CVE-2026-25130

9.6 CRITICAL

📋 TL;DR

CVE-2026-25130 is a critical argument injection vulnerability in the Cybersecurity AI (CAI) framework that allows remote code execution. Attackers can inject malicious arguments into shell commands to execute arbitrary code on the host system, bypassing human-in-the-loop safety mechanisms. All users of CAI versions up to 0.5.10 are affected.

💻 Affected Systems

Products:
  • Cybersecurity AI (CAI) framework
Versions: All versions up to and including 0.5.10
Operating Systems: Linux, Windows, macOS
Default Config Vulnerable: ⚠️ Yes
Notes: Vulnerability exists in default configuration when using the find_file() tool or other affected function tools.

⚠️ Manual Verification Required

This CVE does not have specific version information in our database, so automatic vulnerability detection cannot determine if your system is affected.

Why? The CVE database entry doesn't specify which versions are vulnerable (no version ranges provided by the vendor/NVD).

🔒 Custom verification scripts are available for registered users. Sign up free to download automated test scripts.

Recommended Actions:
  1. Review the CVE details at NVD
  2. Check vendor security advisories for your specific version
  3. Test if the vulnerability is exploitable in your environment
  4. Consider updating to the latest version as a precaution

⚠️ Risk & Real-World Impact

🔴

Worst Case

Full system compromise with attacker gaining root/administrator privileges, data exfiltration, ransomware deployment, and persistent backdoor installation.

🟠

Likely Case

Unauthorized command execution leading to data theft, lateral movement within the network, and installation of cryptocurrency miners or other malware.

🟢

If Mitigated

Limited impact with proper network segmentation, least privilege access, and command execution monitoring in place.

🌐 Internet-Facing: HIGH
🏢 Internal Only: HIGH

🎯 Exploit Status

Public PoC: ✅ No
Weaponized: LIKELY
Unauthenticated Exploit: ⚠️ Yes
Complexity: LOW

Exploitation requires attacker to control input passed to vulnerable functions, which may require some level of access to the application.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Versions after commit e22a1220f764e2d7cf9da6d6144926f53ca01cde

Vendor Advisory: https://github.com/aliasrobotics/cai/security/advisories/GHSA-jfpc-wj3m-qw2m

Restart Required: Yes

Instructions:

1. Update CAI to version after commit e22a1220f764e2d7cf9da6d6144926f53ca01cde
2. Restart all CAI services
3. Verify the fix by checking the patched filesystem.py implementation

🔧 Temporary Workarounds

Disable vulnerable tools

all

Disable or restrict access to the find_file() tool and other affected function tools in CAI configuration.

# Edit CAI configuration to disable vulnerable tools
# Set tool permissions to require explicit approval

Input validation and sanitization

all

Implement strict input validation and sanitization for all user-controlled parameters passed to shell commands.

# Implement parameter validation before passing to subprocess.Popen()
# Use allowlists for permitted arguments

🧯 If You Can't Patch

  • Implement strict network segmentation to isolate CAI instances from critical systems
  • Deploy application control solutions to restrict command execution and monitor for suspicious subprocess activity

🔍 How to Verify

Check if Vulnerable:

Check if CAI version is 0.5.10 or earlier by examining the version file or running 'pip show cai'

Check Version:

pip show cai | grep Version

Verify Fix Applied:

Verify that the filesystem.py file contains the fix from commit e22a1220f764e2d7cf9da6d6144926f53ca01cde

📡 Detection & Monitoring

Log Indicators:

  • Unusual subprocess executions from CAI processes
  • find commands with -exec or other suspicious arguments
  • Multiple failed command execution attempts

Network Indicators:

  • Outbound connections from CAI processes to unexpected destinations
  • Command and control traffic patterns

SIEM Query:

process_name:"python" AND command_line:"subprocess.Popen" AND command_line:"shell=True" AND parent_process:"cai"

🔗 References

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