CVE-2018-13037 in jpeg-compressor
Summary
by MITRE
An issue was discovered in jpeg-compressor 0.1. The bmp_load function in stb_image.c allows remote attackers to cause a denial of service (heap-based buffer overflow and application crash) or possibly have unspecified other impact.
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Analysis
by VulDB Data Team • 03/29/2023
The vulnerability identified as CVE-2018-13037 resides within the jpeg-compressor 0.1 software suite, specifically within the stb_image.c source file where the bmp_load function operates. This issue represents a critical heap-based buffer overflow that manifests when processing specially crafted bitmap image files. The vulnerability stems from inadequate input validation and bounds checking within the image loading mechanism, allowing attackers to manipulate memory allocation patterns through malformed input data. The affected function fails to properly validate the dimensions and data structures of bitmap files before attempting to load and process them, creating an exploitable condition in the heap memory management system.
The technical exploitation of this vulnerability occurs when the bmp_load function processes bitmap files containing malformed headers or corrupted data structures. The lack of proper validation allows the function to allocate heap memory based on incorrect size parameters derived from the malicious input, leading to buffer overflow conditions. When the application attempts to write data beyond the allocated heap buffer boundaries, it triggers memory corruption that can result in application crashes or more severe system instability. This type of vulnerability falls under CWE-121, heap-based buffer overflow, which is classified as a fundamental memory safety issue that has been consistently identified as a primary attack vector in cybersecurity incidents. The vulnerability can potentially be leveraged for more sophisticated attacks if the heap corruption allows for arbitrary code execution, though the current analysis indicates primary impact is denial of service.
The operational impact of this vulnerability extends beyond simple application crashes, as it creates significant reliability concerns for systems that depend on image processing capabilities. Remote attackers can exploit this weakness to disrupt services by causing applications to crash repeatedly, leading to denial of service conditions that affect legitimate users. The vulnerability is particularly concerning in environments where automated image processing or file upload systems are in place, as it could be exploited through web applications or file sharing platforms. The unspecified other impacts mentioned in the vulnerability description suggest potential for more severe consequences including privilege escalation or information disclosure, though these have not been definitively confirmed. Organizations using jpeg-compressor 0.1 in production environments face substantial risk of service interruption and potential security compromise. This vulnerability aligns with ATT&CK technique T1203, Exploitation for Client Execution, as it enables remote code execution through the manipulation of image processing functions.
Mitigation strategies for CVE-2018-13037 should prioritize immediate software updates and patches from the vendor, as this vulnerability affects the core image processing functionality of the affected library. System administrators should implement input validation measures at multiple layers, including file type verification, size restrictions, and content scanning before processing any bitmap files. Network segmentation and access controls can help limit the potential attack surface by restricting access to image processing functions. Additionally, implementing memory protection mechanisms such as stack canaries, address space layout randomization, and heap hardening techniques can provide defense-in-depth measures against exploitation attempts. Organizations should also consider deploying intrusion detection systems that can monitor for suspicious file processing patterns or unusual memory allocation behaviors that might indicate exploitation attempts. Regular security assessments and vulnerability scanning should be conducted to identify similar issues in other image processing libraries and components within the system infrastructure.