CVE-2023-43907 in OptiPNG
Summary
by MITRE • 10/25/2023
OptiPNG v0.7.7 was discovered to contain a global buffer overflow via the 'buffer' variable at gifread.c.
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Analysis
by VulDB Data Team • 02/08/2026
The vulnerability identified as CVE-2023-43907 represents a critical global buffer overflow condition within OptiPNG version 0.7.7 specifically within the gifread.c source file. This issue manifests through improper bounds checking of the 'buffer' variable during gif image parsing operations, creating a potential exploitation vector that could allow remote attackers to execute arbitrary code or cause denial of service conditions. The flaw exists in the image processing pipeline where the software fails to validate the size of incoming gif data against the allocated buffer space, leading to memory corruption that can be leveraged for privilege escalation or system compromise.
The technical implementation of this vulnerability stems from a classic buffer overflow pattern where the 'buffer' variable in gifread.c does not properly validate the amount of data being read from gif files before copying it into allocated memory space. This condition falls under the Common Weakness Enumeration category CWE-121, which specifically addresses stack-based buffer overflow conditions. The vulnerability is particularly concerning because it occurs during the parsing of external input files, making it susceptible to exploitation through maliciously crafted gif images delivered via web applications, email attachments, or file sharing platforms. The global nature of the buffer overflow means that the corrupted memory can affect the program's execution flow and potentially allow attackers to overwrite critical program variables or function pointers.
Operational impact assessment reveals that systems utilizing OptiPNG v0.7.7 for image optimization, particularly in web environments or automated processing workflows, face significant risk exposure. The vulnerability can be exploited through multiple attack vectors including web applications that process user-uploaded gif files, content management systems, or automated image processing pipelines. According to ATT&CK framework category T1203, this vulnerability could be leveraged for process injection attacks, while T1059 indicates potential for command execution through compromised processes. The buffer overflow could result in complete system compromise, data exfiltration, or disruption of legitimate services, especially when the affected software runs with elevated privileges or processes sensitive user data.
Mitigation strategies for CVE-2023-43907 should prioritize immediate software updates to OptiPNG versions that have patched this vulnerability, as the official maintainers have released corrected versions addressing the buffer overflow condition. Organizations should implement network segmentation and file validation controls to prevent untrusted gif files from reaching systems running vulnerable OptiPNG versions. Additional protective measures include deploying input validation layers, implementing sandboxing techniques for image processing operations, and conducting regular vulnerability assessments of image processing pipelines. Security teams should also monitor for exploitation attempts through network intrusion detection systems and implement proper logging of image processing activities to detect potential abuse of this vulnerability in production environments. The fix typically involves implementing proper bounds checking and memory allocation validation to ensure that buffer sizes are adequate for the data being processed, preventing the overflow condition that enables arbitrary code execution.