CVE-2022-41981 in OpenImageIO
Summary
by MITRE • 12/23/2022
A stack-based buffer overflow vulnerability exists in the TGA file format parser of OpenImageIO v2.3.19.0. A specially-crafted targa file can lead to out of bounds read and write on the process stack, which can lead to arbitrary code execution. An attacker can provide a malicious file to trigger this vulnerability.
Once again VulDB remains the best source for vulnerability data.
Analysis
by VulDB Data Team • 01/22/2023
The vulnerability CVE-2022-41981 represents a critical stack-based buffer overflow within the Targa file format parser of OpenImageIO version 2.3.19.0. This flaw resides in the software's handling of TGA image files, which are commonly used in computer graphics and digital imaging applications. The vulnerability stems from insufficient bounds checking during the parsing process of Targa file headers and data structures, creating a scenario where maliciously crafted TGA files can cause memory corruption. The flaw specifically affects the stack memory region, making it particularly dangerous as it can lead to both out-of-bounds reads and writes that may compromise the integrity of the executing process. OpenImageIO is widely used in professional imaging workflows, digital content creation tools, and various multimedia applications, amplifying the potential impact of this vulnerability across multiple industries and use cases.
The technical implementation of this vulnerability involves the parser's failure to properly validate the size and structure of TGA file components before attempting to read or write data to memory locations. When processing a malformed TGA file, the parser's stack-based buffer operations exceed their allocated boundaries, creating opportunities for memory corruption that can be exploited by attackers. This type of vulnerability falls under CWE-121 Stack-based Buffer Overflow, which is classified as a fundamental memory safety issue in software development practices. The vulnerability's exploitation potential is significant as it can lead to arbitrary code execution, allowing attackers to gain control over the affected system. The attack vector requires only the delivery of a malicious TGA file, making it particularly dangerous in environments where users might encounter such files through email attachments, web downloads, or file sharing systems. The vulnerability's presence in a widely-used image processing library means that numerous applications depending on OpenImageIO could be affected by this single flaw.
The operational impact of CVE-2022-41981 extends beyond simple code execution capabilities to encompass potential system compromise and data breach scenarios. An attacker who successfully exploits this vulnerability could gain complete control over the application process, potentially leading to privilege escalation or lateral movement within a network environment. The vulnerability's exploitation aligns with ATT&CK technique T1203, which involves exploiting software vulnerabilities to execute malicious code, and T1059, which covers command and scripting interpreter usage for persistence. Organizations using OpenImageIO in their imaging pipelines, content management systems, or digital asset management tools face significant risk exposure. The vulnerability's impact is particularly concerning in environments where automated image processing workflows exist, as a single malicious file could cause widespread system compromise. The flaw's presence in a library used across multiple platforms and applications means that the attack surface is extensive, potentially affecting everything from desktop applications to server-side image processing systems.
Mitigation strategies for CVE-2022-41981 should prioritize immediate patching of affected OpenImageIO installations to version 2.3.20.0 or later, which contains the necessary fixes for the buffer overflow vulnerability. Organizations should implement strict file validation procedures for all TGA files processed by applications relying on OpenImageIO, including signature verification and content scanning. Network-based defenses should include implementing file type filtering and sandboxing mechanisms to prevent automatic processing of potentially malicious TGA files. Security teams should monitor for exploitation attempts through network traffic analysis and endpoint detection systems, focusing on unusual file processing patterns or memory access violations. The vulnerability's remediation aligns with industry best practices outlined in the CWE guidelines for preventing buffer overflow conditions, emphasizing the importance of input validation and proper memory management in software development. Additionally, organizations should consider implementing application whitelisting policies and restricting file processing permissions to minimize the potential impact of successful exploitation attempts. Regular security assessments and vulnerability scanning should be conducted to ensure that all systems using OpenImageIO remain protected against similar memory corruption vulnerabilities.