CVE-2021-34552

9.8 CRITICAL

📋 TL;DR

This CVE describes a buffer overflow vulnerability in Pillow (Python Imaging Library) that allows attackers to pass controlled parameters to trigger memory corruption. Attackers could potentially execute arbitrary code or cause denial of service. Any system using vulnerable versions of Pillow or PIL for image processing is affected.

💻 Affected Systems

Products:
  • Pillow
  • Python Imaging Library (PIL)
Versions: Pillow <= 8.2.0, PIL <= 1.1.7
Operating Systems: All operating systems running Python
Default Config Vulnerable: ⚠️ Yes
Notes: Any Python application using Pillow/PIL for image conversion operations is vulnerable regardless of configuration.

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Remote code execution leading to complete system compromise, data theft, or ransomware deployment.

🟠

Likely Case

Application crash causing denial of service, potentially leading to data corruption in image processing pipelines.

🟢

If Mitigated

Limited impact with proper input validation and sandboxing, potentially just application instability.

🌐 Internet-Facing: HIGH - Web applications processing user-uploaded images are directly exposed to exploitation.
🏢 Internal Only: MEDIUM - Internal applications processing images could be exploited through lateral movement or compromised internal users.

🎯 Exploit Status

Public PoC: ⚠️ Yes
Weaponized: LIKELY
Unauthenticated Exploit: ⚠️ Yes
Complexity: LOW

The vulnerability is in a core conversion function that can be triggered by passing malicious parameters, making exploitation relatively straightforward.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Pillow 8.3.0

Vendor Advisory: https://pillow.readthedocs.io/en/stable/releasenotes/8.3.0.html#buffer-overflow

Restart Required: Yes

Instructions:

1. Update Pillow: pip install --upgrade pillow>=8.3.0
2. Restart all Python applications using Pillow
3. Verify no older versions remain: pip list | grep -i pillow

🔧 Temporary Workarounds

Input Validation

all

Implement strict input validation for image parameters before passing to Pillow conversion functions

Sandbox Execution

linux

Run image processing in isolated containers or sandboxed environments

docker run --rm -v $(pwd):/images python:3.9 python image_processor.py

🧯 If You Can't Patch

  • Implement strict input validation and sanitization for all image parameters
  • Isolate image processing services in network segments with limited access

🔍 How to Verify

Check if Vulnerable:

Check Pillow version: python -c "import PIL; print(PIL.__version__)" or pip show pillow

Check Version:

python -c "import PIL; print('Pillow version:', PIL.__version__)"

Verify Fix Applied:

Verify version is 8.3.0 or higher: python -c "import PIL; print(PIL.__version__); assert tuple(map(int, PIL.__version__.split('.'))) >= (8, 3, 0)"

📡 Detection & Monitoring

Log Indicators:

  • Application crashes during image processing
  • Memory access violation errors in Python logs
  • Unusual process spawning from Python applications

Network Indicators:

  • Unusual outbound connections from image processing services
  • Large or malformed image uploads to web applications

SIEM Query:

source="application.logs" AND ("Pillow" OR "PIL") AND ("segmentation fault" OR "buffer overflow" OR "memory corruption")

🔗 References

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