CVE-2008-3230 in lavf demuxer
Summary
by MITRE
The ffmpeg lavf demuxer allows user-assisted attackers to cause a denial of service (application crash) via a crafted GIF file, possibly related to gstreamer, as demonstrated by lol-giftopnm.gif.
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Analysis
by VulDB Data Team • 08/01/2021
The vulnerability identified as CVE-2008-3230 represents a critical denial of service flaw within the ffmpeg library's lavf demuxer component, specifically affecting how the software processes GIF image files. This weakness enables malicious actors to craft specially formatted GIF files that can trigger application crashes when processed by ffmpeg-based applications. The vulnerability demonstrates particular concern as it operates through user-assisted attack vectors, meaning that an attacker can induce the crash by convincing a victim to open or process a maliciously crafted GIF file. The specific demonstration file lol-giftopnm.gif illustrates how the vulnerability can be exploited in practice, highlighting the real-world applicability of this flaw. The attack surface extends beyond simple image processing applications to encompass any software that relies on ffmpeg for multimedia file handling, including video editing tools, media servers, and content management systems that accept user-uploaded media files. This vulnerability falls under the broader category of software robustness issues and can be categorized as a CWE-129 weakness related to improper validation of input data, where the demuxer fails to properly validate or sanitize GIF file structures before attempting to parse them.
The technical exploitation of this vulnerability occurs when ffmpeg's lavf demuxer encounters malformed GIF structures that it cannot properly handle during the parsing process. The underlying flaw likely stems from inadequate bounds checking or buffer overflow protection within the GIF parsing code, causing the application to crash when processing the crafted file. When the demuxer attempts to parse the specially constructed GIF data, it may encounter unexpected or malformed data structures that cause memory corruption or execution flow disruption. This type of vulnerability often manifests as a segmentation fault or access violation error, leading to complete application termination. The vulnerability's relationship to gstreamer components suggests that similar issues may exist across different multimedia frameworks that share common parsing libraries or code bases, potentially creating a wider impact across the multimedia processing ecosystem. The vulnerability represents a classic example of how input validation failures can lead to denial of service conditions, where an attacker can disrupt legitimate service availability without necessarily gaining unauthorized access to system resources or data.
The operational impact of CVE-2008-3230 extends significantly beyond simple application crashes, as it can be leveraged to create service disruption in environments where ffmpeg is extensively used. Web applications that allow user uploads of media files become particularly vulnerable, as attackers can upload malicious GIF files that will crash the processing pipeline whenever these files are accessed or converted. Content management systems, video streaming platforms, and multimedia processing services all face potential disruption from this vulnerability. The user-assisted nature of the attack means that organizations must consider not just direct attacks but also social engineering scenarios where users might inadvertently trigger the vulnerability. In server environments, this could lead to resource exhaustion through repeated crash cycles, effectively making the service unavailable to legitimate users. The vulnerability particularly impacts systems that process large volumes of user-generated content, as the attack can be automated and scaled to cause widespread disruption. The potential for cascading failures exists when multiple applications rely on the same ffmpeg library, creating a single point of failure that can affect entire service ecosystems.
Mitigation strategies for CVE-2008-3230 should focus on both immediate protective measures and long-term architectural improvements. The most effective immediate solution involves applying the relevant security patches provided by ffmpeg maintainers, which typically include enhanced input validation and robust error handling within the GIF parsing routines. Organizations should implement strict file type validation and sanitization at the application level, ensuring that all user-uploaded GIF files are properly validated before processing. Input filtering mechanisms should be deployed to reject or normalize suspicious GIF structures before they reach the ffmpeg demuxer. Network-level protections can include implementing file format detection and content filtering to prevent malicious GIF files from entering the processing pipeline. Regular security updates and vulnerability assessments should be conducted to identify similar weaknesses in multimedia processing libraries. The ATT&CK framework categorizes this vulnerability under the T1499.004 technique for network denial of service, emphasizing the importance of implementing robust input validation as a preventive measure. System administrators should also consider implementing monitoring and alerting mechanisms to detect unusual application crash patterns that might indicate exploitation attempts. Additionally, organizations should maintain up-to-date security patches for all multimedia processing components and implement principle of least privilege access controls to limit the impact of potential exploitation. The vulnerability highlights the critical need for defensive programming practices and comprehensive testing of multimedia input handling routines to prevent similar issues from arising in the future.