CVE-2017-9193 in AutoTrace
Summary
by MITRE
libautotrace.a in AutoTrace 0.31.1 has a heap-based buffer over-read in the ReadImage function in input-tga.c:538:33.
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Analysis
by VulDB Data Team • 10/02/2020
The vulnerability identified as CVE-2017-9193 resides within the AutoTrace 0.31.1 library known as libautotrace.a, specifically manifesting in the ReadImage function located in the input-tga.c file at line 538. This issue represents a heap-based buffer over-read that occurs when processing TGA image files, creating a significant security risk for any application that utilizes this library for image processing tasks. The flaw stems from inadequate bounds checking during the parsing of TGA file headers and pixel data, allowing an attacker to craft malicious TGA files that can trigger memory access violations.
The technical implementation of this vulnerability involves a classic buffer over-read scenario where the ReadImage function attempts to read beyond the allocated memory boundaries when processing TGA file structures. At the specific memory location indicated by the source code reference, the function performs operations that assume certain buffer sizes or data structures without proper validation. This allows attackers to manipulate the input data stream to cause the program to access memory locations that have not been properly allocated or are not accessible to the process, potentially leading to information disclosure, denial of service, or in more severe cases, arbitrary code execution depending on the memory layout and exploitation conditions.
The operational impact of this vulnerability extends beyond simple memory corruption, as it affects any software that depends on AutoTrace for vector graphics conversion or image processing capabilities. Applications such as graphic design tools, image conversion utilities, and automated processing systems that incorporate this library become vulnerable to remote exploitation through malicious TGA file uploads or downloads. The vulnerability is particularly concerning in web applications or services that accept user-uploaded image files, as attackers could leverage this flaw to disrupt service availability or potentially gain unauthorized access to system resources. This type of vulnerability is classified under CWE-125 as an "Out-of-bounds Read" and aligns with ATT&CK technique T1203 for "Exploitation for Client Execution" when exploited in web contexts.
Mitigation strategies for CVE-2017-9193 primarily focus on updating to patched versions of AutoTrace where the buffer over-read has been addressed through proper bounds checking and input validation. System administrators should immediately upgrade to AutoTrace versions that have resolved this vulnerability, as no effective workarounds exist for the underlying issue. Additionally, implementing input validation measures such as file type verification, size restrictions, and sandboxed processing environments can help reduce the attack surface when dealing with untrusted image files. Network-level protections such as web application firewalls and content filtering systems can also provide additional layers of defense against exploitation attempts. Organizations should also consider implementing automated patch management processes to ensure all systems utilizing AutoTrace components remain current with security updates. The vulnerability demonstrates the critical importance of proper memory management in image processing libraries and highlights the need for comprehensive testing of file format parsers against malformed inputs.