CVE-2024-28425
📋 TL;DR
Greykite v1.0.0 contains an arbitrary file upload vulnerability in the load_obj function that allows attackers to upload malicious pickle files. When processed, these files can execute arbitrary code on the server. This affects any system running the vulnerable greykite version with the pickle_utils module exposed.
💻 Affected Systems
- greykite
📦 What is this software?
Greykite by Linkedin
⚠️ Risk & Real-World Impact
Worst Case
Full server compromise leading to data theft, ransomware deployment, or complete system takeover via remote code execution.
Likely Case
Attackers gain shell access to the server, install backdoors, exfiltrate sensitive data, or pivot to internal networks.
If Mitigated
Limited impact due to proper input validation, file type restrictions, and execution in sandboxed environments.
🎯 Exploit Status
Exploitation requires file upload capability to the vulnerable endpoint. Pickle deserialization vulnerabilities are well-understood and easily weaponized.
🛠️ Fix & Mitigation
✅ Official Fix
Patch Version: Unknown
Vendor Advisory: Unknown
Restart Required: No
Instructions:
1. Check for official patch from greykite maintainers. 2. If available, update to patched version. 3. Verify pickle_utils.py no longer accepts untrusted pickle files.
🔧 Temporary Workarounds
Disable pickle file uploads
allModify the application to reject .pkl or pickle file uploads entirely.
# Modify file upload validation to reject pickle extensions
# Example Python snippet:
if filename.endswith(('.pkl', '.pickle')):
raise ValueError('Pickle files not allowed')
Implement strict file validation
allAdd server-side validation to only allow specific safe file types.
# Whitelist allowed file extensions
ALLOWED_EXTENSIONS = {'.txt', '.csv', '.json'}
if not any(filename.endswith(ext) for ext in ALLOWED_EXTENSIONS):
raise ValueError('File type not allowed')
🧯 If You Can't Patch
- Isolate the vulnerable service in a network segment with strict egress filtering
- Implement web application firewall (WAF) rules to block pickle file uploads
🔍 How to Verify
Check if Vulnerable:
Check if greykite version is 1.0.0 and if pickle_utils.py contains the load_obj function without proper input validation.Check Version:
pip show greykite | grep VersionVerify Fix Applied:
Test uploading a pickle file to the vulnerable endpoint; it should be rejected or fail to execute code.📡 Detection & Monitoring
Log Indicators:
- Unusual file uploads with .pkl/.pickle extensions
- Python pickle module errors in application logs
- Suspicious process execution from web server user
Network Indicators:
- HTTP POST requests with pickle file uploads to vulnerable endpoints
- Outbound connections from web server to unknown IPs
SIEM Query:
source="web_logs" AND (uri_path="/templates/pickle_utils" OR file_extension="pkl" OR file_extension="pickle")