CVE-2025-1497
📋 TL;DR
CVE-2025-1497 is a critical remote code execution vulnerability in PlotAI where insufficient validation of LLM-generated output allows attackers to execute arbitrary Python code. This affects all users of PlotAI software that have the vulnerable code enabled. The vendor has commented out the vulnerable line but requires users to uncomment it for functionality, effectively leaving the risk decision to users.
💻 Affected Systems
- PlotAI
📦 What is this software?
Plotai by Mljar
⚠️ Risk & Real-World Impact
Worst Case
Complete system compromise allowing attacker to execute arbitrary commands, install malware, exfiltrate data, or pivot to other systems.
Likely Case
Remote code execution leading to data theft, system manipulation, or deployment of ransomware/cryptominers.
If Mitigated
No impact if the vulnerable code remains commented out or proper input validation/sandboxing is implemented.
🎯 Exploit Status
Exploitation requires the vulnerable code to be uncommented and active. The vulnerability is in how LLM output is processed without proper sanitization.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: N/A
Vendor Advisory: https://github.com/mljar/plotai/commit/bdcfb13484f0b85703a4c1ddfd71cb21840e7fde
Restart Required: No
Instructions:
1. Review the vulnerable code at the commit link. 2. Ensure the vulnerable line remains commented out. 3. Do not uncomment the line unless implementing additional security controls.
🔧 Temporary Workarounds
Keep Vulnerable Code Commented
allMaintain the vendor's commented-out code to prevent exploitation
# Ensure line with LLM output execution remains commented in source code
Implement Input Validation
allAdd strict validation/sanitization of LLM-generated output before processing
# Implement whitelist validation for LLM output
# Use AST parsing to validate code structure
# Implement sandboxing for executed code
🧯 If You Can't Patch
- Network segmentation: Isolate PlotAI instances from critical systems
- Implement strict monitoring for unusual Python execution patterns
🔍 How to Verify
Check if Vulnerable:
Check if the vulnerable code line (executing LLM-generated Python) is uncommented in your PlotAI installationCheck Version:
Check PlotAI version via package manager or inspect source code for the vulnerable patternVerify Fix Applied:
Confirm the vulnerable execution line remains commented out and no alternative unsafe execution methods exist📡 Detection & Monitoring
Log Indicators:
- Unexpected Python code execution from PlotAI process
- Unusual system commands executed by PlotAI user
Network Indicators:
- Outbound connections from PlotAI to unexpected destinations
- Data exfiltration patterns
SIEM Query:
process.name:"python" AND process.cmdline:"plotai" AND event.action:"execute"