CVE-2020-22025 in FFmpeg
Summary
by MITRE • 05/28/2021
A heap-based Buffer Overflow vulnerability exists in gaussian_blur at libavfilter/vf_edgedetect.c, which might lead to memory corruption and other potential consequences.
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Analysis
by VulDB Data Team • 06/03/2021
The heap-based buffer overflow vulnerability identified as CVE-2020-22025 resides within the gaussian_blur function implementation in libavfilter/vf_edgedetect.c, representing a critical security flaw in the FFmpeg multimedia framework. This vulnerability manifests when processing specific input parameters that exceed allocated buffer boundaries during edge detection filter operations. The flaw stems from inadequate input validation and bounds checking mechanisms within the gaussian_blur function, which processes image data to apply edge detection effects. When maliciously crafted input data is processed through this filter, the function fails to properly validate the size parameters, leading to unauthorized memory access patterns that can overwrite adjacent heap memory regions. The vulnerability classifies under CWE-121 as a heap-based buffer overflow, where insufficient boundary checks allow attackers to write beyond allocated memory blocks, potentially corrupting adjacent data structures and compromising system stability.
The operational impact of this vulnerability extends beyond simple memory corruption, as it can enable arbitrary code execution under specific conditions. Attackers exploiting this flaw can manipulate heap metadata, overwrite function pointers, or corrupt critical data structures within the application's memory space. The vulnerability is particularly concerning in multimedia processing environments where FFmpeg libraries are integrated into web applications, media servers, or content management systems. When combined with other exploitation techniques, this buffer overflow could allow attackers to execute malicious code with the privileges of the affected application, potentially leading to complete system compromise. The attack surface is broad given FFmpeg's widespread adoption across various platforms and applications, including browsers, media players, and server-side processing systems that handle user-uploaded multimedia content.
Mitigation strategies for CVE-2020-22025 should prioritize immediate patch application from FFmpeg maintainers, as this vulnerability affects the core multimedia processing capabilities of numerous applications. Organizations should implement input sanitization measures that validate all parameters passed to edge detection filters, particularly when processing untrusted user content. The implementation of address space layout randomization, stack canaries, and heap metadata protection mechanisms can provide additional defense-in-depth layers. Security researchers should monitor for related vulnerabilities in the same codebase, as similar issues may exist in other filter implementations within the libavfilter module. Network segmentation and application whitelisting can help limit the potential impact of exploitation attempts, while regular security assessments of multimedia processing pipelines should include thorough vulnerability scanning of FFmpeg dependencies. The ATT&CK framework categorizes this vulnerability under T1059.007 for command and scripting interpreter execution, as exploitation could enable attackers to execute arbitrary commands through compromised multimedia processing applications. System administrators should also consider implementing intrusion detection systems that monitor for anomalous memory access patterns and buffer overflow indicators in applications utilizing FFmpeg libraries.