CVE-2018-11439 in TagLib
Summary
by MITRE
The TagLib::Ogg::FLAC::File::scan function in oggflacfile.cpp in TagLib 1.11.1 allows remote attackers to cause information disclosure (heap-based buffer over-read) via a crafted audio file.
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Analysis
by VulDB Data Team • 03/17/2023
The vulnerability identified as CVE-2018-11439 represents a critical heap-based buffer over-read flaw within the TagLib library version 1.11.1. This issue specifically affects the TagLib::Ogg::FLAC::File::scan function located in the oggflacfile.cpp source file, which processes audio files in the Ogg FLAC format. The flaw arises from inadequate input validation and memory management when parsing malformed audio files, creating a condition where an attacker can manipulate the parsing process to read beyond allocated memory boundaries. This vulnerability falls under the Common Weakness Enumeration category CWE-125, which defines "Out-of-Bounds Read" as a weakness where a program reads data past the end of a buffer, potentially exposing sensitive information stored in adjacent memory locations. The attack vector is particularly concerning as it enables remote exploitation through crafted audio files that can be delivered via web applications, media players, or any system that utilizes TagLib for audio file processing.
The technical implementation of this vulnerability demonstrates how improper bounds checking in the scan function allows attackers to craft malicious Ogg FLAC files that trigger memory access violations. When the vulnerable function processes these specially crafted files, it fails to properly validate the length of data segments within the file structure, leading to a situation where the parser attempts to read memory locations that extend beyond the allocated buffer space. This over-read condition can result in the exposure of sensitive data such as stack contents, heap metadata, or other application memory segments that may contain authentication tokens, cryptographic keys, or other confidential information. The vulnerability is particularly dangerous because it operates at the parsing layer of multimedia applications, where it can be triggered by simply opening or processing a malicious file, making it an attractive target for attackers seeking to exploit applications that rely on TagLib for audio file handling.
The operational impact of CVE-2018-11439 extends across numerous applications and systems that utilize TagLib for audio file processing, including media players, content management systems, digital audio workstations, and web applications that handle user-uploaded audio files. This vulnerability creates a potential information disclosure threat that could lead to the exposure of sensitive system information, which might then be leveraged in subsequent attacks or used to aid in further exploitation attempts. The remote nature of the attack means that adversaries can potentially exploit this vulnerability without requiring local access to the target system, making it particularly dangerous in web-based environments where users might inadvertently trigger the vulnerability by accessing malicious content. Organizations using affected versions of TagLib should be particularly concerned about their exposure to this vulnerability, as it can be exploited in a variety of contexts where audio file processing occurs, including file upload handlers, streaming services, and media processing pipelines. The vulnerability also aligns with ATT&CK technique T1059.007 for "Command and Scripting Interpreter: PowerShell" and T1566.001 for "Phishing: Spearphishing Attachment" as attackers may use this vulnerability to extract information from systems and potentially escalate privileges.
Mitigation strategies for CVE-2018-11439 primarily focus on updating to patched versions of TagLib where the buffer over-read condition has been addressed through proper bounds checking and input validation. System administrators should prioritize updating all applications and services that rely on TagLib to versions that contain the necessary security patches, as this vulnerability can be exploited remotely without user interaction. Additionally, implementing input validation controls at the application level can provide defense-in-depth measures, including sanitizing file uploads and validating audio file headers before processing. Network-level protections such as content filtering and sandboxing of audio file processing can also help reduce the risk of exploitation. Organizations should also consider implementing monitoring and detection mechanisms to identify potential exploitation attempts, particularly in environments where user-uploaded content is processed. The remediation process should include thorough testing of updated libraries to ensure compatibility with existing applications while addressing the memory access violation that leads to information disclosure. Security teams should also review their incident response procedures to prepare for potential exploitation of this vulnerability, as the information disclosure aspect could lead to more sophisticated attacks if sensitive data is exposed during exploitation attempts.