CVE-2017-12122 in SDL2_image
Summary
by MITRE
An exploitable code execution vulnerability exists in the ILBM image rendering functionality of SDL2_image-2.0.2. A specially crafted ILBM image can cause a heap overflow resulting in code execution. An attacker can display a specially crafted image to trigger this vulnerability.
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Analysis
by VulDB Data Team • 03/07/2023
The vulnerability identified as CVE-2017-12122 represents a critical heap overflow condition within the SDL2_image library version 2.0.2, specifically affecting the ILBM (Interleaved Bitmap) image rendering component. This flaw resides in the library's handling of bitmap image formats, where improper bounds checking during image decompression allows malicious input to overwrite adjacent memory regions. The vulnerability manifests when the library processes malformed ILBM files that contain oversized or malformed data structures, leading to unpredictable memory corruption that can be exploited by adversaries. The issue stems from inadequate input validation and memory management practices within the image parsing routines, creating a pathway for arbitrary code execution through carefully crafted malicious image files.
The technical exploitation of this vulnerability follows a classic heap overflow pattern where the attacker crafts an ILBM image with malformed header values or data sequences that cause the rendering code to allocate insufficient memory buffers. When the SDL2_image library attempts to decompress the interleaved bitmap data, the parsing logic fails to properly validate the dimensions and data lengths specified in the image header, resulting in buffer overflows that can overwrite critical memory segments including return addresses, function pointers, or other control data structures. This memory corruption enables attackers to redirect program execution flow and potentially execute arbitrary code with the privileges of the affected application. The vulnerability aligns with CWE-121, heap-based buffer overflow, and demonstrates characteristics consistent with ATT&CK technique T1203, Exploitation for Client Execution, as it targets client-side applications that utilize the vulnerable library for image processing.
The operational impact of this vulnerability extends beyond simple code execution, as it affects any application that relies on SDL2_image for bitmap rendering, including multimedia applications, games, and media players that support ILBM format. Attackers can leverage this vulnerability by tricking users into opening maliciously crafted ILBM files, potentially through phishing campaigns, malicious websites, or compromised software distribution channels. The exploitability is enhanced by the fact that the vulnerability occurs during normal image rendering operations, making detection difficult and the attack surface broad. Applications using the affected library become susceptible to remote code execution when they process untrusted image data, particularly in scenarios where image files are automatically loaded or displayed without proper validation. The vulnerability's impact is amplified in environments where applications run with elevated privileges or where the affected software is widely deployed across multiple platforms and systems.
Mitigation strategies for CVE-2017-12122 require immediate patching of the SDL2_image library to version 2.0.3 or later, which contains fixed implementations of the ILBM parsing routines with proper bounds checking and input validation. System administrators should prioritize updating all affected applications that utilize the vulnerable library, particularly those handling untrusted image content or operating in multi-user environments. Additional defensive measures include implementing strict input validation for image files, deploying application whitelisting policies to restrict execution of unauthorized image processing applications, and configuring network security controls to prevent automatic download and execution of potentially malicious image files. Organizations should also consider implementing runtime monitoring solutions that can detect anomalous memory access patterns or buffer overflow attempts during image processing operations. The vulnerability serves as a reminder of the importance of proper memory management in image processing libraries and highlights the need for comprehensive input validation across all binary data parsing operations, particularly in multimedia frameworks that handle diverse and complex file formats.