CVE-2016-4167 in DNG Software Development Kit
Summary
by MITRE
Adobe DNG Software Development Kit (SDK) before 1.4 2016 allows attackers to execute arbitrary code or cause a denial of service (memory corruption) via unspecified vectors.
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Analysis
by VulDB Data Team • 01/27/2019
The vulnerability identified as CVE-2016-4167 affects Adobe DNG Software Development Kit versions prior to 1.4 released in 2016, representing a critical security flaw that exposes systems to potential exploitation through memory corruption attacks. This SDK is designed to facilitate development of applications that handle digital negative image files, which are commonly used in professional photography and imaging workflows. The unspecified vectors within the SDK implementation create multiple attack surfaces that adversaries can leverage to gain unauthorized system access or disrupt service availability. The vulnerability stems from inadequate input validation and memory management practices within the SDK's codebase, particularly when processing malformed DNG image files or specific data structures that trigger unexpected behavior during parsing operations.
The technical flaw manifests as memory corruption issues that can be exploited to execute arbitrary code on affected systems or cause denial of service conditions through system crashes. Attackers can craft malicious DNG files or manipulate SDK parameters to trigger buffer overflows, heap corruption, or other memory-related vulnerabilities that allow them to overwrite critical program memory locations. This type of vulnerability aligns with CWE-121, which describes stack-based buffer overflow conditions, and CWE-122, which covers heap-based buffer overflow scenarios. The memory corruption occurs during the SDK's processing of image metadata or raw pixel data, where insufficient bounds checking allows attackers to manipulate memory layout and potentially redirect program execution flow. The nature of the vulnerability suggests that the SDK lacks proper sanitization of input data, particularly when handling complex image file structures that contain embedded metadata or compressed data streams.
Operationally, this vulnerability presents significant risks to organizations that rely on Adobe DNG SDK for image processing applications, particularly in professional photography, medical imaging, or scientific research environments where DNG files are extensively used. The ability to execute arbitrary code remotely through crafted DNG files means that attackers could potentially compromise entire systems, establish persistent backdoors, or escalate privileges within affected environments. Organizations using the vulnerable SDK in their applications may face unauthorized access to sensitive data, system compromise, or complete service disruption. The denial of service aspect of this vulnerability could be exploited to disrupt legitimate business operations by causing applications to crash or become unresponsive when processing legitimate DNG files. Attackers could leverage this vulnerability in supply chain attacks, targeting software vendors who incorporate the SDK into their products, or directly against end-user systems that process DNG files from untrusted sources. The impact extends beyond individual systems to potentially affect entire imaging workflows and digital asset management systems that depend on the SDK for proper functionality.
Mitigation strategies for CVE-2016-4167 require immediate patching of the Adobe DNG SDK to version 1.4 or later, which includes proper memory management and input validation fixes. Organizations should implement strict input validation measures for any DNG file processing within their applications, including sanitization of metadata fields and implementation of proper bounds checking mechanisms. Network segmentation and access controls should be enhanced to limit exposure of systems that process DNG files, while regular security assessments should be conducted to identify potential exploitation vectors. The vulnerability demonstrates the importance of proper software security practices and adherence to secure coding guidelines, particularly in handling complex binary file formats and memory-intensive operations. Organizations should also consider implementing automated monitoring systems to detect unusual file processing patterns that may indicate exploitation attempts, and maintain updated threat intelligence feeds to stay informed about related attack techniques targeting similar vulnerabilities. Compliance with industry standards such as those outlined in the OWASP Top 10 and NIST cybersecurity frameworks should be maintained to ensure comprehensive protection against similar memory corruption vulnerabilities in imaging and file processing software components.