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Vulnerability Database/CVE-2022-22816

CVE-2022-22816: Python Pillow Buffer Overflow Vulnerability

CVE-2022-22816 is a buffer overflow vulnerability in Python Pillow affecting path_getbbox function that causes buffer over-read during ImagePath.Path initialization. This article covers technical details, affected versions, and fixes.

Published:

CVE-2022-22816 Overview

CVE-2022-22816 is an Out-of-Bounds Read vulnerability affecting the path_getbbox function in path.c within Python Pillow versions prior to 9.0.0. The vulnerability occurs during the initialization of ImagePath.Path, where a buffer over-read condition can be triggered. This flaw allows remote attackers to potentially cause information disclosure or denial of service through crafted image data processed by vulnerable Pillow installations.

Critical Impact

Applications processing untrusted image data using vulnerable Pillow versions may be susceptible to information leakage or application crashes due to improper memory access during path bounding box calculations.

Affected Products

  • Python Pillow versions prior to 9.0.0
  • Debian Linux 9.0 (Stretch)
  • Debian Linux 10.0 (Buster)
  • Debian Linux 11.0 (Bullseye)

Discovery Timeline

  • 2022-01-10 - CVE-2022-22816 published to NVD
  • 2024-11-21 - Last updated in NVD database

Technical Details for CVE-2022-22816

Vulnerability Analysis

This vulnerability stems from improper bounds checking in the path_getbbox function within Pillow's C extension code. When processing ImagePath.Path objects, the function fails to properly validate array boundaries during initialization, leading to a buffer over-read condition. The vulnerability can be exploited remotely without authentication by supplying specially crafted input to applications that use Pillow for image processing.

The flaw exists in the path handling code where the bounding box calculation accesses memory beyond allocated buffer boundaries. This type of memory safety issue is classified under CWE-125 (Out-of-bounds Read), indicating that the software reads data past the end or before the beginning of the intended buffer.

Root Cause

The root cause of CVE-2022-22816 lies in insufficient bounds validation within the path_getbbox function located in path.c. During the initialization phase of ImagePath.Path objects, the code performs array operations without adequately verifying that read operations remain within allocated memory boundaries. This oversight allows read operations to extend beyond the legitimate buffer space, potentially exposing adjacent memory contents or causing application instability.

Attack Vector

An attacker can exploit this vulnerability through network-accessible applications that process image data using vulnerable Pillow versions. The attack does not require authentication or user interaction, making it exploitable in automated image processing pipelines, web applications with image upload functionality, or any service that handles untrusted image input.

The exploitation scenario involves:

  1. Identifying a target application using Pillow for image processing
  2. Crafting malicious input that triggers the ImagePath.Path initialization code path
  3. Exploiting the buffer over-read to leak memory contents or crash the application

For technical implementation details, refer to the GitHub Pillow Code Reference showing the affected code location.

Detection Methods for CVE-2022-22816

Indicators of Compromise

  • Unexpected application crashes or segmentation faults in Python applications using Pillow for image processing
  • Abnormal memory access patterns detected in application logs or monitoring systems
  • Increased error rates in image processing workflows handling untrusted input
  • Memory-related exceptions originating from Pillow's path handling functions

Detection Strategies

  • Implement dependency scanning to identify Pillow versions prior to 9.0.0 across your environment
  • Monitor application logs for exceptions related to ImagePath.Path or path_getbbox operations
  • Deploy runtime application self-protection (RASP) solutions to detect out-of-bounds memory access attempts
  • Use static analysis tools to identify code paths that process untrusted image data with vulnerable Pillow versions

Monitoring Recommendations

  • Enable verbose logging for image processing components to capture detailed error information
  • Set up alerts for unusual crash patterns in Python applications with Pillow dependencies
  • Monitor system memory usage for anomalies that may indicate exploitation attempts
  • Implement network traffic analysis to detect potential exploit payloads targeting image processing endpoints

How to Mitigate CVE-2022-22816

Immediate Actions Required

  • Upgrade Python Pillow to version 9.0.0 or later immediately across all affected systems
  • Audit your application dependencies to identify all instances of vulnerable Pillow versions
  • Implement input validation for image data before processing with Pillow
  • Consider temporarily disabling or restricting access to image processing features if immediate patching is not possible

Patch Information

The vulnerability has been addressed in Pillow version 9.0.0. The fix includes proper bounds checking in the path_getbbox function to prevent buffer over-read conditions during ImagePath.Path initialization.

For detailed information about the security fix, consult the Pillow Release Notes 9.0.0.

Linux distribution users should apply the relevant security updates:

Workarounds

  • Restrict image processing to trusted input sources only until patching is complete
  • Implement strict input validation and sanitization for all image data before processing
  • Deploy network-level filtering to block potentially malicious image payloads
  • Run image processing components in isolated environments with limited privileges to contain potential exploitation
bash
# Upgrade Pillow to patched version
pip install --upgrade "Pillow>=9.0.0"

# Verify installed version
pip show Pillow | grep Version

# For requirements.txt, specify minimum version
echo "Pillow>=9.0.0" >> requirements.txt

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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