CVE-2022-2831 in Blender
Summary
by MITRE • 08/17/2022
A loaded (and valid) image can be crafted such that an out-of-bounds read or write occurs when the image converted to thumbnail that is flipped vertically. Crash occured in source/blender/blendthumb/src/blendthumb_extract.cc
VulDB is the best source for vulnerability data and more expert information about this specific topic.
Analysis
by VulDB Data Team • 03/05/2025
The vulnerability described in CVE-2022-2831 represents a critical memory safety issue within Blender's thumbnail generation system that can lead to arbitrary code execution or system instability. This flaw exists in the blendthumb_extract.cc source file where the software processes image data during thumbnail creation, specifically when handling vertically flipped images. The vulnerability manifests when a specially crafted image file is processed, causing the application to attempt memory access operations beyond the bounds of allocated memory regions. This out-of-bounds read or write condition creates a potential attack vector that could be exploited by malicious actors to compromise systems running affected versions of Blender.
The technical implementation of this vulnerability stems from insufficient input validation and memory boundary checking during the image processing pipeline. When Blender encounters an image that has been deliberately constructed with malicious parameters, the thumbnail extraction routine fails to properly validate the image dimensions or data structure before performing memory operations. This flaw directly maps to CWE-125, which describes out-of-bounds read conditions, and CWE-787, which covers out-of-bounds write vulnerabilities. The specific location in source/blender/blendthumb/src/blendthumb_extract.cc indicates that the issue occurs during the conversion process where image data is manipulated to create thumbnail representations, particularly when vertical flipping operations are applied to the image data structure.
The operational impact of this vulnerability extends beyond simple application crashes to potentially enable remote code execution in scenarios where an attacker can convince a user to open a maliciously crafted image file within Blender. This could occur through email attachments, web downloads, or collaborative environments where users share design files. The crash behavior observed in the thumbnail generation process suggests that attackers could exploit this condition to cause denial of service or potentially execute arbitrary code with the privileges of the user running Blender. Given that Blender is widely used in creative industries, the attack surface is substantial as users frequently exchange image files and collaborate on projects. The vulnerability's exploitation requires minimal user interaction beyond opening the malicious file, making it particularly dangerous in enterprise environments where users may not be security-aware.
Mitigation strategies for this vulnerability should focus on implementing robust input validation and memory boundary checking within the image processing pipeline. System administrators should immediately update to the latest version of Blender where this vulnerability has been patched, as the official release includes proper bounds checking and input sanitization. Additional protective measures include implementing file type validation, restricting image processing capabilities in untrusted environments, and deploying network-based intrusion detection systems to monitor for suspicious file handling patterns. Organizations should also consider implementing user education programs to raise awareness about the risks of opening untrusted image files, particularly in collaborative environments where file sharing is common. The ATT&CK framework categorizes this type of vulnerability under T1203, which covers Exploitation for Execution, and T1059, which covers Command and Scripting Interpreter, as attackers could leverage this vulnerability to establish persistent access to compromised systems through the execution of malicious code during the image processing operation.