CVE-2012-4433 in GEGL
Summary
by MITRE
Multiple integer overflows in operations/external/ppm-load.c in GEGL (Generic Graphics Library) 0.2.0 allow remote attackers to cause a denial of service (application crash) or possibly execute arbitrary code via a large (1) width or (2) height value in a Portable Pixel Map (ppm) image, which triggers a heap-based buffer overflow.
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Analysis
by VulDB Data Team • 12/20/2021
The vulnerability CVE-2012-4433 represents a critical security flaw in GEGL version 0.2.0, specifically within the operations/external/ppm-load.c module responsible for processing Portable Pixel Map image files. This integer overflow vulnerability stems from inadequate input validation when handling image dimensions, creating a pathway for remote attackers to manipulate the application's memory management through crafted ppm image files. The flaw manifests when the application processes image files containing excessively large width or height values, which can cause the system to allocate insufficient memory buffers for image data processing, ultimately leading to heap-based buffer overflows that compromise application stability and security.
The technical implementation of this vulnerability involves the manipulation of integer variables that control buffer allocation sizes during ppm image loading operations. When an attacker provides a ppm image with exaggerated width or height parameters, the integer overflow occurs during the calculation of memory requirements for the image buffer, resulting in a scenario where the allocated buffer is significantly smaller than the actual data that needs to be written. This discrepancy creates a heap-based buffer overflow condition that can be exploited to corrupt adjacent memory locations, potentially leading to application crashes or more severe consequences including arbitrary code execution. The vulnerability operates at the intersection of multiple security domains including memory corruption, input validation, and buffer management, making it particularly dangerous in environments where GEGL processes untrusted image data.
The operational impact of CVE-2012-4433 extends beyond simple denial of service scenarios to encompass potential remote code execution capabilities, making it a significant concern for systems that process image files from untrusted sources. Applications utilizing GEGL for image processing, including graphic design software, web applications, and content management systems, become vulnerable to attacks that could compromise system integrity and availability. The vulnerability's remote exploitability means that attackers can leverage this flaw without requiring local access, potentially affecting web services, image processing pipelines, and any system that accepts and processes ppm image files from external sources. This characteristic aligns with attack patterns commonly associated with remote code execution vulnerabilities in image processing libraries, which are frequently targeted due to the widespread use of such components in web applications and multimedia systems.
Mitigation strategies for CVE-2012-4433 should prioritize immediate patching of affected GEGL installations to version 0.2.0 or later where the vulnerability has been addressed through proper integer overflow checks and input validation mechanisms. System administrators should implement input sanitization measures that validate image dimensions before processing, establishing maximum limits for image width and height parameters to prevent exploitation attempts. The implementation of memory protection mechanisms such as stack canaries, address space layout randomization, and data execution prevention can provide additional layers of defense against potential exploitation attempts. Organizations should also consider deploying network segmentation and access controls to limit exposure of systems running GEGL to untrusted image data sources, while monitoring for anomalous image processing activities that might indicate exploitation attempts. This vulnerability demonstrates the importance of proper integer handling in security-critical applications and aligns with common attack patterns documented in the attack mitigation frameworks, particularly those addressing buffer overflow vulnerabilities in multimedia processing libraries. The flaw serves as a reminder of the critical need for robust input validation and memory management practices in graphics and multimedia processing components that handle untrusted data from external sources.