CVE-2024-32880

9.1 CRITICAL

📋 TL;DR

This vulnerability in pyload allows authenticated users to change the download folder and upload malicious templates, leading to remote code execution. All pyload instances with authenticated user access are affected. No official fix is available at publication time.

💻 Affected Systems

Products:
  • pyload
Versions: All versions prior to any future patch
Operating Systems: All platforms running pyload
Default Config Vulnerable: ⚠️ Yes
Notes: Requires authenticated user access; default installations with authentication enabled are vulnerable.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Full system compromise with attacker gaining complete control over the server running pyload, potentially leading to data theft, lateral movement, or ransomware deployment.

🟠

Likely Case

Authenticated attackers execute arbitrary code on the pyload server, potentially stealing credentials, modifying downloads, or establishing persistence.

🟢

If Mitigated

With proper network segmentation and least privilege, impact limited to the pyload application and its data.

🌐 Internet-Facing: HIGH
🏢 Internal Only: MEDIUM

🎯 Exploit Status

Public PoC: ✅ No
Weaponized: UNKNOWN
Unauthenticated Exploit: ✅ No
Complexity: LOW

Exploitation requires authenticated access but is straightforward once authenticated.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: None available

Vendor Advisory: https://github.com/pyload/pyload/security/advisories/GHSA-3f7w-p8vr-4v5f

Restart Required: Yes

Instructions:

No official patch available. Monitor the pyload GitHub repository for updates.

🔧 Temporary Workarounds

Disable pyload authentication

all

Run pyload without authentication to prevent authenticated attacks (not recommended for production)

Edit pyload config to disable authentication

Restrict network access

all

Limit pyload access to trusted networks only

Configure firewall rules to restrict access to pyload port

🧯 If You Can't Patch

  • Isolate pyload instance on separate network segment with strict firewall rules
  • Implement strict access controls and monitor for suspicious template uploads

🔍 How to Verify

Check if Vulnerable:

Check if running any version of pyload with authentication enabled

Check Version:

Check pyload version in web interface or configuration files

Verify Fix Applied:

Check for updated version from official pyload repository

📡 Detection & Monitoring

Log Indicators:

  • Unusual template file uploads
  • Download folder path changes by users
  • Suspicious command execution patterns

Network Indicators:

  • Unexpected outbound connections from pyload server
  • Unusual authentication patterns

SIEM Query:

Search for 'pyload' AND ('template upload' OR 'folder change' OR 'execution') in application logs

🔗 References

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