CVE-2022-24599 in Audio File Library
Summary
by MITRE • 02/24/2022
In autofile Audio File Library 0.3.6, there exists one memory leak vulnerability in printfileinfo, in printinfo.c, which allows an attacker to leak sensitive information via a crafted file. The printfileinfo function calls the copyrightstring function to get data, however, it dosn't use zero bytes to truncate the data.
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Analysis
by VulDB Data Team • 08/21/2025
The vulnerability identified as CVE-2022-24599 represents a memory leak issue within the autofile Audio File Library version 0.3.6 that manifests in the printfileinfo function located in printinfo.c. This flaw occurs when processing audio files through the copyrightstring function which retrieves data without proper null termination, creating a condition where sensitive information can be leaked to attackers. The vulnerability specifically targets the memory management practices within the audio file processing library, where the application fails to properly handle string termination during data retrieval operations.
The technical implementation of this vulnerability stems from improper memory handling within the copyrightstring function which is invoked by printfileinfo. When the function retrieves copyright information from audio files, it does not append null bytes to terminate the string properly, allowing adjacent memory contents to remain accessible. This memory leak behavior creates a scenario where attackers can craft malicious audio files that, when processed by the vulnerable library, cause the application to expose sensitive data from memory regions that should remain protected. The flaw operates at the intersection of improper string handling and memory management, making it particularly dangerous in environments where audio files are processed without proper validation.
The operational impact of this vulnerability extends beyond simple information disclosure to potentially enable more sophisticated attacks within systems that rely on the autofile library for audio processing. An attacker could exploit this vulnerability by creating specially crafted audio files that, when processed by applications using the vulnerable library, would cause memory contents to be exposed through the printfileinfo function. This could potentially reveal sensitive information such as cryptographic keys, user credentials, or system memory contents that might be accessible through the memory leak. The vulnerability affects any system where the autofile Audio File Library 0.3.6 is deployed and processes user-provided audio files without proper sanitization.
Security mitigations for CVE-2022-24599 should focus on implementing proper null termination in string handling operations within the copyrightstring function and ensuring all retrieved data is properly sanitized before display or processing. The recommended approach involves updating the printinfo.c file to explicitly null-terminate strings retrieved from audio file metadata, preventing adjacent memory from being exposed during processing operations. Organizations should also implement input validation for audio files processed through the library, including signature verification and format checking to prevent exploitation of memory leak vulnerabilities. Additionally, regular updates to the autofile Audio File Library should be prioritized to ensure all known vulnerabilities are addressed through proper code review and testing procedures.
This vulnerability aligns with CWE-121, which addresses stack-based buffer overflow conditions, and CWE-122, which covers heap-based buffer overflow scenarios. The memory leak pattern also corresponds to ATT&CK technique T1059.007 for command and scripting interpreter, as attackers could potentially leverage the information disclosure to craft more sophisticated attacks. The flaw demonstrates how seemingly minor memory management issues can create significant security risks in audio processing libraries, particularly when dealing with untrusted input files. The vulnerability serves as a reminder of the importance of proper string handling and memory management in security-critical applications, especially those processing multimedia content where input validation is often insufficient.