CVE-2017-9168 in AutoTrace
Summary
by MITRE
libautotrace.a in AutoTrace 0.31.1 has a heap-based buffer overflow in the ReadImage function in input-bmp.c:353:25.
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Analysis
by VulDB Data Team • 10/02/2020
The vulnerability identified as CVE-2017-9168 represents a critical heap-based buffer overflow within the AutoTrace library autotrace.a version 0.31.1. This flaw exists in the ReadImage function located in the input-bmp.c file at line 353, where a buffer overflow occurs at column 25. AutoTrace is a widely used open-source tool designed for vectorizing bitmap images, converting raster graphics into scalable vector formats. The library serves as a foundational component in various image processing pipelines and graphic design applications, making this vulnerability particularly concerning for its potential impact across multiple software ecosystems.
The technical nature of this vulnerability stems from improper bounds checking within the bitmap input handling mechanism. When processing bitmap image files, the ReadImage function fails to adequately validate the size of data being read from the input file against the allocated buffer space. This allows an attacker to craft maliciously formatted bitmap files that, when processed by AutoTrace, can overwrite adjacent memory locations in the heap. The heap-based nature of the overflow means that the vulnerability can lead to arbitrary code execution, memory corruption, or application crashes. The specific location at input-bmp.c:353:25 indicates that the flaw occurs during the parsing of bitmap headers or pixel data where insufficient validation permits buffer overruns.
The operational impact of this vulnerability extends beyond simple application instability, as it creates potential entry points for attackers to execute malicious code within systems that utilize AutoTrace. Since AutoTrace is embedded in numerous graphic applications, document processing tools, and automated image conversion systems, a successful exploitation could compromise entire workflows. The vulnerability particularly affects systems where AutoTrace is used to process untrusted bitmap input files, such as in web applications, automated document conversion services, or graphic design environments where users might encounter maliciously crafted images. The heap overflow can result in denial of service conditions, data corruption, or more severe consequences including remote code execution depending on the target system's memory protection mechanisms.
Mitigation strategies for CVE-2017-9168 should prioritize immediate patching of affected AutoTrace versions to 0.31.2 or later, which contains the necessary buffer overflow protections. Organizations should implement input validation measures that restrict bitmap file processing to known good formats and sizes, while also deploying memory protection mechanisms such as stack canaries, address space layout randomization, and heap metadata protection. The vulnerability aligns with CWE-121, heap-based buffer overflow, and may map to ATT&CK technique T1059 for command and control through code execution. System administrators should also consider network segmentation and access controls to limit exposure of systems running AutoTrace to untrusted input sources, while monitoring for suspicious file processing activities that might indicate exploitation attempts.