CVE-2006-0392 in Mac OS X
Summary
by MITRE
Buffer overflow in Apple Mac OS X 10.4.7 allows user-assisted attackers to cause a denial of service (application crash) and possibly execute arbitrary code via a crafted Canon RAW image.
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Analysis
by VulDB Data Team • 11/23/2024
The vulnerability identified as CVE-2006-0392 represents a critical buffer overflow flaw within Apple Mac OS X 10.4.7 operating system that specifically affects the handling of Canon RAW image files. This issue resides in the image processing components responsible for parsing and rendering digital camera raw formats, creating a dangerous condition where malformed image data can trigger unpredictable system behavior. The vulnerability operates through user-assisted attack vectors, meaning that an attacker must convince a victim to open a specially crafted Canon RAW file for the exploit to be successful, though the attack itself requires minimal user interaction beyond the initial file opening.
The technical implementation of this buffer overflow stems from insufficient input validation and bounds checking within the Canon RAW image parser component of the operating system's image handling framework. When the system attempts to process a malformed Canon RAW file, the parsing routine fails to properly validate the size and structure of image data elements, leading to memory corruption that can result in stack overflow conditions. This vulnerability maps directly to CWE-121, which describes heap-based buffer overflow conditions, and CWE-122, which covers stack-based buffer overflow scenarios. The flaw demonstrates characteristics consistent with improper input validation patterns that are frequently exploited in operating system components handling multimedia data formats.
The operational impact of this vulnerability extends beyond simple denial of service conditions to potentially enable remote code execution capabilities, making it particularly dangerous for environments where users might encounter untrusted image files. When exploited, the buffer overflow can cause applications to crash unpredictably, leading to system instability and potential data loss. The attack vector specifically targets the image processing pipeline, which means that any application or system component that relies on Mac OS X's native image handling capabilities could be affected. This includes web browsers, image viewers, photo management applications, and system utilities that process RAW image formats. The vulnerability's potential for arbitrary code execution places it within the ATT&CK framework under the technique T1059.007 for command and scripting interpreter, as successful exploitation could allow attackers to execute malicious code within the target system context.
Mitigation strategies for this vulnerability require immediate system updates and patches from Apple, as the flaw exists at the core operating system level within the image processing subsystem. System administrators should prioritize deployment of the official security patches released by Apple to address the buffer overflow conditions in the Canon RAW image parser. Additionally, implementing strict file validation controls and restricting user access to potentially malicious image files through network security measures can provide additional defense layers. Organizations should consider deploying application whitelisting solutions that prevent unauthorized image processing applications from executing, while also maintaining regular security assessments of image handling components. The vulnerability highlights the importance of input validation in multimedia processing frameworks and demonstrates why comprehensive security testing of image parsing libraries is essential for preventing similar issues in operating system components.