CVE-2016-9572 in Oracle
Summary
by MITRE
A NULL pointer dereference flaw was found in the way openjpeg 2.1.2 decoded certain input images. Due to a logic error in the code responsible for decoding the input image, an application using openjpeg to process image data could crash when processing a crafted image.
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Analysis
by VulDB Data Team • 09/16/2024
The vulnerability identified as CVE-2016-9572 represents a critical NULL pointer dereference flaw within the openjpeg 2.1.2 image decoding library. This issue stems from a fundamental logic error in the codebase that governs how the library processes certain input image formats. The flaw specifically manifests when applications utilizing openjpeg for image processing encounter crafted or malformed input images that trigger the problematic code path. The vulnerability is categorized under CWE-476 which specifically addresses NULL pointer dereferences, making it a well-documented class of software defects that can lead to application instability and potential system compromise. This particular vulnerability demonstrates how image processing libraries can become attack vectors when they fail to properly validate input data before attempting to process it.
The technical implementation of this vulnerability occurs within the decoding logic of openjpeg where the software fails to adequately check for NULL pointer conditions before attempting to access memory locations. When a specially crafted image file is processed, the library's internal state becomes corrupted, leading to a situation where a pointer that should contain a valid memory address instead points to NULL. This NULL pointer dereference causes the application to crash immediately upon attempting to access the invalid memory location, resulting in a denial of service condition. The flaw is particularly insidious because it can be triggered by any application that relies on openjpeg for image processing, including web applications, desktop software, and server-side image handling systems. The vulnerability demonstrates a classic flaw in defensive programming where proper input validation and error handling mechanisms are missing or insufficient.
The operational impact of CVE-2016-9572 extends beyond simple application crashes to potentially affect entire systems that depend on openjpeg for image processing functionality. Attackers can exploit this vulnerability by crafting malicious image files that, when processed by vulnerable applications, will cause the target system to crash or become unresponsive. This creates a significant denial of service risk for web applications, content management systems, and any platform that accepts user-uploaded images. The vulnerability is particularly dangerous in environments where applications automatically process images without proper sanitization, as it allows remote attackers to trigger system instability without requiring authentication or elevated privileges. From an attack methodology perspective, this vulnerability aligns with ATT&CK technique T1203 which involves exploiting software vulnerabilities to cause system instability or denial of service. The impact is amplified because many modern applications rely heavily on image processing capabilities, making the exploitation surface quite broad.
Mitigation strategies for this vulnerability primarily focus on immediate software updates and proper input validation practices. The most effective solution is to upgrade to openjpeg versions that contain the patched code addressing the NULL pointer dereference issue. Organizations should implement comprehensive patch management procedures to ensure all systems using openjpeg are updated promptly. Additionally, applications should implement robust input validation and sanitization measures, including proper error handling for image processing operations. The vulnerability highlights the importance of defensive programming practices and proper memory management in security-critical software components. Security teams should also consider implementing network-based detection mechanisms to identify potentially malicious image files that might trigger this vulnerability during processing. Organizations should conduct regular vulnerability assessments of their image processing pipelines to identify similar issues that might exist in other third-party libraries or custom code implementations. The incident underscores the need for comprehensive security testing of input processing functions and the implementation of proper exception handling mechanisms that prevent NULL pointer dereferences from causing system crashes.