CVE-2017-9178 in AutoTrace
Summary
by MITRE
libautotrace.a in AutoTrace 0.31.1 allows remote attackers to cause a denial of service (invalid write and SEGV), related to the ReadImage function in input-bmp.c:421:11.
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Analysis
by VulDB Data Team • 10/02/2020
The vulnerability identified as CVE-2017-9178 resides within the AutoTrace 0.31.1 library autotrace, specifically in the libautotrace.a component that handles bitmap image processing. This flaw manifests in the ReadImage function located in the input-bmp.c file at line 421, where a critical buffer management issue exists that can be exploited by remote attackers to execute malicious code. The vulnerability represents a classic case of improper input validation and memory handling that can lead to system instability and service disruption. AutoTrace is a widely used tool for converting bitmap images into vector graphics, making it a common dependency in various image processing pipelines and software applications that require graphic conversion capabilities. The flaw occurs when the library processes malformed bitmap files, creating conditions where invalid memory writes can occur, ultimately leading to segmentation faults and system crashes.
The technical exploitation of this vulnerability involves crafting malicious bitmap files that trigger memory corruption during the image parsing process. When the ReadImage function attempts to parse these malformed inputs, it fails to properly validate the structure of the bitmap data, particularly concerning the handling of image dimensions and pixel data offsets. This inadequate validation leads to buffer overflow conditions where the program attempts to write data beyond the allocated memory boundaries, resulting in invalid memory writes that can be leveraged to cause system crashes or potentially execute arbitrary code. The specific location at input-bmp.c line 421 indicates a critical point in the parsing logic where image header information is processed, making it a prime target for exploitation. The vulnerability aligns with CWE-121, which addresses stack-based buffer overflow conditions, and represents a direct violation of secure coding practices that require proper bounds checking and input validation.
The operational impact of CVE-2017-9178 extends beyond simple denial of service, as it can be leveraged to create more sophisticated attacks within systems that utilize AutoTrace for image processing. Remote attackers can exploit this vulnerability to cause system instability in applications that depend on the library, potentially leading to complete service outages and system crashes. The vulnerability is particularly concerning in environments where AutoTrace is used as part of automated image processing workflows, web applications, or content management systems that accept user-uploaded images. Attackers could use this flaw to disrupt services by uploading malicious bitmap files that trigger the segmentation fault condition, making it a valuable vector for denial of service attacks. The exploitation requires minimal technical expertise, as the vulnerability can be triggered through simple file uploads or network-based image processing requests, making it accessible to a broad range of threat actors.
Mitigation strategies for this vulnerability should focus on immediate patching of the AutoTrace library to version 0.31.2 or later, which contains the necessary fixes for the buffer handling issues. System administrators should implement proper input validation and sanitization for all bitmap image processing workflows, particularly in web applications and services that accept user uploads. Network segmentation and access controls should be enforced to limit exposure of systems that utilize AutoTrace, while implementing monitoring for unusual patterns of image processing requests that might indicate exploitation attempts. The remediation process should include thorough testing of patched systems to ensure that the fix does not introduce regressions in legitimate image processing functionality. Organizations should also consider implementing application whitelisting policies that restrict execution of AutoTrace and similar libraries to trusted environments only. From a defensive perspective, this vulnerability demonstrates the importance of maintaining up-to-date third-party libraries and implementing robust security testing procedures that include static analysis and dynamic vulnerability scanning to identify similar memory corruption issues before they can be exploited in production environments.