CVE-2017-11295 in DNG Converter
Summary
by MITRE
An issue was discovered in Adobe DNG Converter 9.12.1 and earlier versions. An exploitable memory corruption vulnerability exists. Successful exploitation could lead to arbitrary code execution.
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Analysis
by VulDB Data Team • 12/13/2019
The vulnerability identified as CVE-2017-11295 represents a critical memory corruption flaw within Adobe DNG Converter version 9.12.1 and earlier iterations. This software serves as a crucial tool for converting digital negative files into Adobe's proprietary DNG format, widely utilized by photographers and imaging professionals for archiving and processing raw camera data. The flaw manifests in the parser responsible for handling DNG files, where improper input validation leads to memory corruption during file processing operations. The vulnerability specifically affects the application's handling of malformed or specially crafted DNG input files that contain malformed metadata structures or improperly formatted binary data sequences.
The technical nature of this vulnerability aligns with CWE-121, which describes stack-based buffer overflow conditions, and CWE-122, representing heap-based buffer overflow scenarios. Attackers can exploit this weakness by crafting malicious DNG files that trigger memory corruption during parsing operations, potentially leading to arbitrary code execution within the context of the application's privileges. The exploitation process typically involves sending a specially constructed DNG file to a victim who unknowingly processes it through the vulnerable DNG Converter application. This attack vector demonstrates characteristics consistent with ATT&CK technique T1203, where adversaries leverage application vulnerabilities to execute malicious code, and T1059, involving command and scripting interpreter usage for code execution.
The operational impact of CVE-2017-11295 extends beyond simple arbitrary code execution, as it provides attackers with a potential foothold for more sophisticated attacks within imaging workflows. Organizations that rely heavily on DNG file processing for professional photography, medical imaging, or scientific applications face significant risk from this vulnerability. The memory corruption can result in application crashes, data corruption, or complete system compromise depending on the execution context and privilege levels. Security researchers have noted that the vulnerability's exploitation requires minimal user interaction, making it particularly dangerous in environments where users process third-party DNG files or receive imaging data from untrusted sources. The vulnerability's presence in widely used software versions means that numerous organizations across various industries remain exposed to potential exploitation.
Mitigation strategies for CVE-2017-11295 primarily focus on immediate software updates and patch management. Adobe released patches for DNG Converter version 9.13 and later, which address the memory corruption issues through improved input validation and memory management practices. Organizations should implement strict file validation procedures before processing DNG files, particularly those received from external sources or untrusted parties. Network-based protections such as sandboxing the DNG Converter application, implementing strict file type restrictions, and deploying email filtering solutions can help reduce exposure. Additionally, security monitoring should include detection of suspicious DNG file processing activities and anomalous behavior patterns that may indicate exploitation attempts. System administrators should also consider implementing privilege separation for imaging applications and maintaining up-to-date threat intelligence feeds to identify potential exploitation attempts targeting this vulnerability. The remediation process requires comprehensive testing of patched software to ensure compatibility with existing workflows while maintaining security posture against this and similar memory corruption vulnerabilities.