CVE-2009-3296 in Camimages
Summary
by MITRE
Multiple integer overflows in tiffread.c in CamlImages 2.2 might allow remote attackers to execute arbitrary code via TIFF images containing large width and height values that trigger heap-based buffer overflows.
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Analysis
by VulDB Data Team • 02/22/2025
The vulnerability identified as CVE-2009-3296 represents a critical security flaw in CamlImages 2.2 library that processes TIFF image files. This issue stems from improper handling of image dimensions during the parsing process, specifically within the tiffread.c module. The vulnerability manifests when the library encounters TIFF images containing exceptionally large width and height values that exceed normal processing boundaries. The integer overflow conditions occur during the calculation of memory allocation sizes for buffer operations, creating a scenario where attackers can manipulate image metadata to force the system into allocating insufficient memory buffers. This fundamental flaw in input validation and memory management creates a pathway for remote code execution through carefully crafted malicious TIFF files. The vulnerability directly impacts the library's ability to safely process image data, as it fails to properly validate dimensional parameters before attempting to allocate memory resources. This type of vulnerability is particularly dangerous because it can be exploited remotely without requiring local system access, making it a significant concern for web applications and services that process user-uploaded image files.
The technical implementation of this vulnerability follows a classic integer overflow pattern that maps to CWE-190, which specifically addresses integer overflow conditions. When the TIFF parser encounters large width and height values, the arithmetic operations used to calculate buffer sizes can exceed the maximum representable value for the integer type, causing the result to wrap around to a small positive value or zero. This overflow condition directly leads to heap-based buffer overflows during memory allocation operations, where insufficient buffer space is allocated for the actual image data. The attack vector leverages the fact that the library does not perform adequate bounds checking on dimensional parameters, allowing attackers to craft TIFF files with maliciously large values that trigger the overflow condition. The resulting buffer overflow creates opportunities for memory corruption that can be exploited to execute arbitrary code, potentially allowing attackers to gain control of the affected system or application. This vulnerability operates at the intersection of multiple attack techniques including memory corruption, buffer overflow exploitation, and remote code execution, making it particularly dangerous in web-based environments where image processing occurs.
The operational impact of CVE-2009-3296 extends beyond simple code execution capabilities, encompassing significant risks to system integrity and availability. Applications that utilize CamlImages 2.2 for TIFF image processing become vulnerable to denial of service attacks through memory corruption, potentially causing application crashes or system instability. The vulnerability's remote exploitation capability means that attackers can compromise systems simply by uploading or accessing malicious TIFF files, without requiring physical access or specialized privileges. This makes the vulnerability particularly dangerous for web applications, content management systems, and any platform that accepts user-generated image content. The exploitability of this vulnerability is enhanced by the fact that TIFF format is widely supported across different platforms and applications, increasing the potential attack surface. Organizations using affected versions of CamlImages face significant risks including unauthorized access, data breaches, and system compromise, particularly in environments where automated image processing occurs without proper input validation. The vulnerability also impacts the broader security posture of systems that rely on image processing libraries, as it demonstrates the critical importance of robust input validation and memory management practices.
Mitigation strategies for CVE-2009-3296 require immediate action to address the underlying integer overflow conditions in the CamlImages library. The primary recommendation involves upgrading to a patched version of the library that implements proper input validation and bounds checking for image dimensions. Organizations should also implement comprehensive input sanitization measures that validate all image metadata parameters before processing, particularly focusing on width and height values that exceed normal operational ranges. Network-level protections including content filtering and image validation at the application boundary can provide additional defense-in-depth measures to prevent exploitation attempts. Security teams should also consider implementing runtime monitoring to detect anomalous memory allocation patterns that may indicate exploitation attempts. The vulnerability highlights the importance of following secure coding practices such as those outlined in the CERT Secure Coding Standards, which specifically address integer overflow prevention and memory safety. Additionally, implementing proper error handling and graceful degradation mechanisms can help prevent exploitation attempts from causing complete system failures. Regular security assessments and vulnerability scanning should be conducted to identify other potential integer overflow conditions within the codebase, as similar patterns may exist in other components of the application stack. Organizations should also consider adopting automated tools and static analysis techniques to identify and remediate similar vulnerabilities in their software supply chain.