## https://sploitus.com/exploit?id=BFEA1720-AD2E-58E4-BBC5-58985C86F713
# CVE-2026-25130 โ Cybersecurity AI (CAI) Framework Argument Injection / OS Command Injection PoC
Author: Mohammed Idrees Banyamer
Country: Jordan
GitHub: https://github.com/yourusername
Instagram: @banyamer_security
---
## Overview
This repository contains a Proof of Concept (PoC) demonstrating an argument injection vulnerability leading to OS command injection in the Cybersecurity AI (CAI) Framework.
The issue exists in the `find_file` utility, where user-controlled input is passed unsafely to an underlying system command, allowing arbitrary command execution.
- CVE ID: CVE-2026-25130
- Vulnerability Type: Argument Injection โ OS Command Injection
- Severity: High
- Affected Versions: cai-framework <= 0.5.10
- Tested Version: 0.5.10
- Fixed Version: After commit e22a1220
- Attack Vector: Local / Agent-context execution
- Authentication Required: No (in many agent workflows)
---
## Vulnerability Details
The vulnerable function is imported from:
```python
from cai.tools.reconnaissance.filesystem import find_file
```
The `find_file` function accepts an `args` parameter that is directly concatenated into a system-level `find` command without proper sanitization or argument validation.
This allows injection of arbitrary flags such as `-exec`, resulting in arbitrary OS command execution.
In autonomous or AI-agent-driven environments, this vulnerability may execute without human approval, significantly increasing its impact.
---
## Impact
Successful exploitation allows an attacker to:
- Execute arbitrary system commands
- Read sensitive system or application data
- Create, modify, or delete files
- Establish reverse shells
- Abuse AI agents or automation pipelines
This is especially dangerous in AI-assisted security tooling, CI/CD environments, and autonomous agent workflows.
---
## Proof of Concept
The included PoC script demonstrates the following scenarios:
### Test 1 โ Command Execution (whoami)
Executes the `whoami` command via argument injection using the `-exec` flag.
### Test 2 โ Non-destructive File Creation
Creates a proof marker file:
```
/tmp/CAI_CVE_2026_25130_PROOF
```
### Test 3 โ Reverse Shell (Commented Out)
A reverse shell payload is included in the script but commented out for safety and ethical reasons.
---
## Usage
### Requirements
- Python 3
- Vulnerable version of cai-framework (<= 0.5.10)
- Local execution environment (preferably isolated)
### Running the PoC
```bash
python3 cai_find_file_rce_poc.py
```
### Verification
If the system is vulnerable:
- Output of `whoami` will be displayed
- The marker file will be created
Verify manually:
```bash
ls -l /tmp/CAI_CVE_2026_25130_PROOF
```
If commands execute successfully, the vulnerability is confirmed.
---
## Patch Status
The vulnerability was fixed after the following commit:
```
e22a1220
```
After applying the patch:
- Injection of `-exec` or similar arguments should be rejected
- Command execution attempts should fail
Users are strongly advised to upgrade immediately.
---
## Mitigation Recommendations
- Strictly validate and whitelist allowed arguments
- Avoid passing user-controlled input to shell commands
- Use subprocess with argument arrays instead of shell execution
- Apply sandboxing for AI-agent tool execution
- Enforce human approval gates for high-risk actions
---
## Responsible Disclosure
This vulnerability was discovered and responsibly disclosed by:
Mohammed Idrees Banyamer
Jordan
Instagram: @banyamer_security
GitHub: https://github.com/yourusername
---
## Disclaimer
This Proof of Concept is provided for educational and defensive security purposes only.
Do NOT use this code against systems you do not own or have explicit permission to test.
The author assumes no liability for misuse or damages resulting from this code.
---
## References
- Cybersecurity AI (CAI) Framework: https://github.com/aliasrobotics/cai
- CVE: CVE-2026-25130
---