Code Injection in paddlepaddle

The impact of this vulnerability is severe. An attacker who can inject commands via the URL parameter can gain complete control over the affected system. This could involve stealing sensitive data, installing malware, or using the system as a launchpad for further attacks. The ability to execute arbitrary commands significantly expands the attack surface and increases the potential for widespread damage. The lack of proper input validation makes this a particularly dangerous vulnerability, as it can be exploited with minimal effort.

Organizations and individuals using PaddlePaddle for deep learning applications, particularly those deploying it in production environments or integrating it with untrusted data sources, are at risk. Those using older, unpatched versions of PaddlePaddle are especially vulnerable. Shared hosting environments where multiple users share the same server are also at increased risk.

• python / supply-chain:

import subprocess
import os
# Check for PaddlePaddle version
result = subprocess.run(['python', '-c', 'import paddle; print(paddle.__version__)'], capture_output=True, text=True)
version = result.stdout.strip()
if version <= '2.5.2':
    print('PaddlePaddle version is vulnerable!')

• generic web: Check for unusual command execution patterns in system logs. Look for processes spawned with unexpected arguments containing URL-like strings. • python / server: Monitor Python processes for suspicious network connections or file access patterns.

1. 2024-01-20Disclosure

   disclosure

1. Reserviert2024-01-14
2. Veröffentlicht2024-01-20
3. Geändert2024-02-16
4. EPSS aktualisiert2026-04-02

The primary mitigation for CVE-2024-0521 is to upgrade to PaddlePaddle version 2.6.0 or later, which contains the necessary fix. If upgrading immediately is not possible, consider implementing input validation and sanitization on the URL parameter before it is used in command construction. While not a complete solution, this can reduce the risk. Additionally, restrict network access to the PaddlePaddle deployment to only trusted sources. Monitor system logs for suspicious command execution patterns.