CVE-2017-14442 in SDL2_image
Summary
by MITRE
An exploitable code execution vulnerability exists in the BMP image rendering functionality of SDL2_image-2.0.2. A specially crafted BMP image can cause a stack 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-2017-14442 represents a critical stack overflow condition within the SDL2_image library version 2.0.2, specifically affecting the Bitmap (BMP) image rendering component. This flaw resides in the software's handling of malformed image files and demonstrates how multimedia processing libraries can become attack vectors when proper input validation is absent. The vulnerability falls under the category of buffer overflow conditions that occur during the parsing of structured data formats, making it particularly dangerous in environments where users might encounter untrusted image content.
The technical implementation of this vulnerability stems from inadequate bounds checking within the BMP image parser of SDL2_image. When processing a specially crafted BMP file, the library fails to properly validate the dimensions and data structures contained within the image header, leading to a stack-based buffer overflow condition. This occurs because the application allocates memory on the stack for image data processing without sufficient verification of the actual size requirements. The flaw is classified as CWE-121, which specifically addresses stack-based buffer overflow conditions, and represents a classic example of improper input validation in multimedia processing components. The overflow can be exploited to overwrite adjacent stack memory locations, potentially allowing an attacker to execute arbitrary code with the privileges of the affected application.
The operational impact of this vulnerability extends beyond simple code execution, as it provides attackers with a mechanism to compromise systems running applications that utilize SDL2_image for image processing. This includes gaming applications, multimedia players, and any software that incorporates SDL2_image for handling bitmap graphics. The attack requires only the display of a maliciously crafted image file, making it particularly dangerous in environments where users might encounter untrusted content through email attachments, web downloads, or file sharing systems. The vulnerability is particularly concerning from an attacker perspective as it can be triggered through simple user interaction without requiring specialized knowledge of the underlying system architecture. This makes it a prime candidate for social engineering attacks where the exploitation can occur through seemingly benign image file interactions.
Mitigation strategies for CVE-2017-14442 should focus on immediate library updates and implementation of input validation measures. The most effective solution involves upgrading to SDL2_image version 2.0.3 or later, which includes proper bounds checking and memory allocation validation for BMP file processing. Organizations should also implement network-level filtering to prevent the transmission of potentially malicious image files, particularly in environments where user-generated content is prevalent. From a defensive standpoint, developers should employ input sanitization techniques and implement proper memory management practices when handling image files. The vulnerability demonstrates the importance of following secure coding practices and adheres to ATT&CK technique T1203, which covers exploitation of software vulnerabilities through buffer overflows. Additionally, organizations should consider implementing runtime protections such as stack canaries and address space layout randomization to reduce the effectiveness of potential exploitation attempts.