CVE-2016-7856 in DNG Converter
Summary
by MITRE
Adobe DNG Converter versions 9.7 and earlier have an exploitable memory corruption vulnerability. Successful exploitation could lead to arbitrary code execution.
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Analysis
by VulDB Data Team • 09/19/2024
Adobe DNG Converter version 9.7 and earlier contains a memory corruption vulnerability that represents a critical security risk for users who process digital photography files. This vulnerability falls under the category of heap-based buffer overflow as identified by CWE-122, where insufficient bounds checking allows attackers to write beyond allocated memory regions. The flaw specifically manifests when the application processes malformed DNG files or other supported image formats that trigger improper memory handling during file parsing operations.
The technical exploitation of this vulnerability occurs through crafted input files that cause the application to allocate insufficient memory for processing image metadata or raw pixel data. When the DNG Converter attempts to handle these malformed inputs, it fails to properly validate the size of incoming data structures, leading to memory corruption that can be leveraged by attackers to execute arbitrary code with the privileges of the affected user. This type of vulnerability aligns with ATT&CK technique T1203 which describes exploitation of software vulnerabilities for privilege escalation and code execution.
The operational impact of CVE-2016-7856 extends beyond simple code execution as it provides attackers with a potential foothold for more sophisticated attacks within victim environments. Since DNG Converter is commonly used by photographers, graphic designers, and professional imaging workflows, the attack surface includes both individual users and enterprise environments where these tools are deployed. The vulnerability exists in the parsing logic of the application's image processing engine, making it particularly dangerous as users may unknowingly process malicious files while performing routine photography work.
Mitigation strategies for this vulnerability should prioritize immediate patching of Adobe DNG Converter to versions 10.0 or later where the memory handling has been corrected. Organizations should also implement defensive measures such as restricting file processing capabilities for untrusted users and employing sandboxing techniques to limit the potential impact of exploitation. Additionally, network segmentation and monitoring for suspicious file processing activities can help detect attempts to exploit this vulnerability. The remediation process should include comprehensive testing to ensure that updated versions properly handle all supported file formats without reintroducing similar memory corruption issues. Security teams should also consider implementing automated vulnerability scanning tools to identify systems running vulnerable versions of the software and ensure timely patch deployment across all affected environments.