CVE-2020-5313

7.1 HIGH

📋 TL;DR

This vulnerability is a buffer overflow in the FLI image decoder component of Pillow (Python Imaging Library). Attackers can exploit this by crafting malicious FLI image files to potentially execute arbitrary code or cause denial of service. Any application using Pillow to process untrusted FLI images is affected.

💻 Affected Systems

Products:
  • Pillow (Python Imaging Library)
Versions: All versions before 6.2.2
Operating Systems: All operating systems where Pillow is installed
Default Config Vulnerable: ⚠️ Yes
Notes: Vulnerability is in the FLI decoder component; only applications that process FLI images are affected, but FLI support is enabled by default.

📦 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 or service disruption.

🟢

If Mitigated

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

🌐 Internet-Facing: HIGH if application processes user-uploaded images, as unauthenticated attackers can exploit it remotely.
🏢 Internal Only: MEDIUM if only internal users can upload images, but still significant due to potential lateral movement.

🎯 Exploit Status

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

Buffer overflow vulnerabilities in image parsers are commonly exploited; proof-of-concept code exists in the commit reference.

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: 6.2.2 and later

Vendor Advisory: https://pillow.readthedocs.io/en/stable/releasenotes/6.2.2.html

Restart Required: No

Instructions:

1. Update Pillow using pip: 'pip install --upgrade Pillow>=6.2.2'. 2. Verify the update with 'pip show Pillow'. 3. Restart any Python applications using Pillow to load the new version.

🔧 Temporary Workarounds

Disable FLI image support

all

Remove or disable the FLI image decoder to prevent processing of malicious FLI files.

Modify application code to avoid using Image.open() with FLI files or implement file type validation.

Input validation and sanitization

all

Implement strict validation of uploaded image files before processing with Pillow.

Use file magic numbers or libraries like python-magic to verify file types before passing to Pillow.

🧯 If You Can't Patch

  • Implement network segmentation to isolate vulnerable systems from untrusted networks.
  • Deploy application-level firewalls or WAFs to block malicious image uploads.

🔍 How to Verify

Check if Vulnerable:

Run 'pip show Pillow' and check if version is less than 6.2.2.

Check Version:

pip show Pillow | grep Version

Verify Fix Applied:

After updating, run 'pip show Pillow' to confirm version is 6.2.2 or higher.

📡 Detection & Monitoring

Log Indicators:

  • Application crashes or segmentation faults when processing image files
  • Unusual memory usage spikes in Pillow processes

Network Indicators:

  • Unexpected uploads of FLI image files to web applications
  • Network traffic patterns suggesting image processing exploitation

SIEM Query:

source="application.log" AND ("segmentation fault" OR "buffer overflow" OR "Pillow crash")

🔗 References

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