CVE-2013-1424

5.6 MEDIUM

📋 TL;DR

This CVE describes a buffer overflow vulnerability in matplotlib that could allow attackers to execute arbitrary code or cause denial of service. It affects users of matplotlib who process untrusted data files or inputs. The vulnerability was fixed in upstream commit ba4016014cb4fb4927e36ce8ea429fed47dcb787.

💻 Affected Systems

Products:
  • matplotlib
Versions: All versions before upstream commit ba4016014cb4fb4927e36ce8ea429fed47dcb787
Operating Systems: All operating systems running matplotlib
Default Config Vulnerable: ⚠️ Yes
Notes: Vulnerability is present in default matplotlib installations when processing certain file types

📦 What is this software?

⚠️ Risk & Real-World Impact

🔴

Worst Case

Remote code execution leading to complete system compromise if exploited successfully

🟠

Likely Case

Application crash or denial of service when processing malicious files

🟢

If Mitigated

Limited impact if proper input validation and sandboxing are implemented

🌐 Internet-Facing: MEDIUM - Applications accepting untrusted matplotlib files could be exploited
🏢 Internal Only: LOW - Internal systems not processing untrusted matplotlib files are less vulnerable

🎯 Exploit Status

Public PoC: ✅ No
Weaponized: UNKNOWN
Unauthenticated Exploit: ⚠️ Yes
Complexity: MEDIUM

Exploitation requires crafting malicious matplotlib files or inputs

🛠️ Fix & Mitigation

✅ Official Fix

Patch Version: Fixed in commit ba4016014cb4fb4927e36ce8ea429fed47dcb787

Vendor Advisory: https://github.com/matplotlib/matplotlib/commit/ba4016014cb4fb4927e36ce8ea429fed47dcb787

Restart Required: No

Instructions:

1. Update matplotlib to version containing commit ba4016014cb4fb4927e36ce8ea429fed47dcb787
2. For Debian systems: apt-get update && apt-get upgrade matplotlib
3. For pip installations: pip install --upgrade matplotlib

🔧 Temporary Workarounds

Input validation and sanitization

all

Implement strict input validation for matplotlib file processing

Sandbox matplotlib processing

all

Run matplotlib in isolated containers or sandboxes when processing untrusted files

🧯 If You Can't Patch

  • Restrict matplotlib file processing to trusted sources only
  • Implement network segmentation to isolate matplotlib processing systems

🔍 How to Verify

Check if Vulnerable:

Check matplotlib version and compare with commit history. Vulnerable if before commit ba4016014cb4fb4927e36ce8ea429fed47dcb787

Check Version:

python -c "import matplotlib; print(matplotlib.__version__)"

Verify Fix Applied:

Verify matplotlib version includes commit ba4016014cb4fb4927e36ce8ea429fed47dcb787

📡 Detection & Monitoring

Log Indicators:

  • Matplotlib process crashes
  • Memory access violation errors in application logs

Network Indicators:

  • Unusual file uploads to matplotlib processing endpoints

SIEM Query:

source="application.logs" AND ("matplotlib" AND ("crash" OR "segmentation fault" OR "buffer overflow"))

🔗 References

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