CVE-2017-9196 in AutoTrace
Summary
by MITRE
libautotrace.a in AutoTrace 0.31.1 has a "negative-size-param" issue in the ReadImage function in input-tga.c:528:7.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 10/02/2020
The vulnerability identified as CVE-2017-9196 represents a critical memory corruption issue within the AutoTrace library autotrace.a version 0.31.1. This flaw manifests in the input-tga.c file at line 528 within the ReadImage function, where a negative-sized parameter is processed, creating a dangerous condition that can lead to arbitrary code execution or system compromise. The issue stems from insufficient input validation and parameter checking mechanisms that fail to properly handle malformed or maliciously crafted TGA image files.
This vulnerability falls under the CWE-129 category of "Improper Validation of Array Index" and represents a classic buffer overflow scenario where the application processes a negative size parameter that subsequently gets used as a buffer size or array index. The attack vector involves feeding a specially crafted TGA file to any application that utilizes the vulnerable AutoTrace library, potentially allowing remote attackers to execute arbitrary code with the privileges of the affected application. The specific location in input-tga.c demonstrates a failure in bounds checking where the application does not validate that the size parameter derived from the TGA file header is positive before using it for memory allocation or processing operations.
The operational impact of this vulnerability extends beyond simple denial of service scenarios, as it can enable attackers to gain unauthorized access to systems processing TGA images through vulnerable applications. This includes graphic design software, image processing pipelines, and any system that incorporates AutoTrace for vectorization operations. The vulnerability affects the broader ATT&CK matrix under the T1059.007 technique for Command and Scripting Interpreter, where attackers can leverage the memory corruption to execute malicious payloads. Applications that process user-uploaded TGA files or those that automatically convert TGA images to other formats become prime targets for exploitation, as the vulnerability can be triggered through legitimate file processing workflows.
Mitigation strategies for CVE-2017-9196 require immediate patching of the AutoTrace library to version 0.31.2 or later, which includes proper input validation and size parameter checking. Organizations should implement input sanitization measures that validate all image file headers before processing, particularly focusing on size parameters within TGA file structures. Additionally, deployment of web application firewalls and intrusion detection systems can help detect and block malicious TGA file uploads. The vulnerability highlights the importance of proper memory management practices and input validation, aligning with industry standards that recommend comprehensive bounds checking and parameter validation to prevent similar issues. System administrators should also consider implementing least privilege principles and sandboxing techniques when processing image files to limit potential damage from successful exploitation attempts.