CVE-2017-2880 in PhotoLine
Summary
by MITRE
An memory corruption vulnerability exists in the .GIF parsing functionality of Computerinsel Photoline 20.02. A specially crafted .GIF file can cause a vulnerability resulting in potential code execution. An attacker can send specific .GIF file to trigger this vulnerability.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Analysis
by VulDB Data Team • 12/30/2022
The vulnerability identified as CVE-2017-2880 represents a critical memory corruption flaw within the Computerinsel Photoline 20.02 software application, specifically affecting its handling of graphics interchange format files. This vulnerability resides in the GIF parsing functionality, which serves as a fundamental component for processing image files within the software ecosystem. The flaw manifests when the application encounters specially crafted GIF files that contain malformed data structures or unexpected memory patterns during the parsing process.
The technical nature of this vulnerability stems from insufficient input validation and memory management within the GIF decoder implementation. When Photoline processes a maliciously constructed GIF file, the parsing routine fails to properly validate the boundaries of memory allocations or handle unexpected data sequences, leading to buffer overflows or memory corruption conditions. This type of vulnerability falls under 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 interpretation of GIF file headers, image data, or metadata sections that contain crafted malicious sequences designed to exploit the software's parsing logic.
The operational impact of this vulnerability extends beyond simple application instability, as it provides potential for remote code execution within the context of the running Photoline process. An attacker who successfully triggers this vulnerability can potentially execute arbitrary code on the target system with the privileges of the user running the Photoline application. This represents a significant security risk in environments where the software operates with elevated privileges or processes sensitive user data. The vulnerability's exploitability is enhanced by the fact that GIF files are commonly encountered in web browsing, email attachments, and file sharing scenarios, making it relatively easy for attackers to deliver malicious payloads. According to ATT&CK framework category T1203, this vulnerability could be leveraged for process injection techniques, while T1068 describes the potential for privilege escalation if the application runs with elevated permissions.
Mitigation strategies for CVE-2017-2880 should prioritize immediate software updates from Computerinsel, as the vendor likely released patches addressing the memory corruption issues in their GIF parsing implementation. Organizations should implement defensive measures such as restricting GIF file processing capabilities through application whitelisting, network-based filtering, or sandboxed execution environments. Security teams should also consider monitoring for unusual file processing patterns or memory allocation behaviors that might indicate exploitation attempts. Additionally, user education regarding the dangers of opening untrusted GIF files remains crucial, particularly in environments where the software is used for image processing tasks involving external data sources. The vulnerability demonstrates the importance of proper input validation and memory safety practices in multimedia processing libraries, as similar issues have been documented in other graphics processing applications and highlight the broader challenge of securing rich media parsing functionality across different software platforms.