CVE-2018-7253 in Wavpack
Summary
by MITRE
The ParseDsdiffHeaderConfig function of the cli/dsdiff.c file of WavPack 5.1.0 allows a remote attacker to cause a denial-of-service (heap-based buffer over-read) or possibly overwrite the heap via a maliciously crafted DSDIFF file.
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Analysis
by VulDB Data Team • 02/08/2023
The vulnerability identified as CVE-2018-7253 resides within the WavPack 5.1.0 audio processing library, specifically in the ParseDsdiffHeaderConfig function located in the cli/dsdiff.c source file. This flaw represents a critical heap-based buffer over-read condition that can be exploited remotely through the careful crafting of malicious DSDIFF audio files. The vulnerability manifests when the application processes specially constructed DSDIFF file headers without proper bounds checking, allowing an attacker to manipulate memory access patterns that exceed allocated buffer boundaries. The affected component processes DSDIFF (Direct Stream Digital Interchange Format) files which are used for high-resolution audio data storage and transmission, making this vulnerability particularly concerning for audio processing systems and applications that handle such file formats. This issue falls under the CWE-125 vulnerability category, which specifically addresses out-of-bounds read conditions, and aligns with ATT&CK technique T1059.007 for command and scripting interpreter usage in exploitation contexts. The heap-based nature of the vulnerability indicates that memory corruption occurs within the application's heap memory management system, potentially leading to unpredictable behavior including application crashes, memory corruption, or in severe cases, memory overwrite conditions that could be leveraged for more sophisticated attacks. The remote exploitation capability means that an attacker could deliver malicious DSDIFF files through various network channels including web downloads, email attachments, or file sharing platforms without requiring local system access.
The technical implementation of this vulnerability stems from insufficient input validation within the ParseDsdiffHeaderConfig function where the application fails to properly verify the size and structure of DSDIFF file headers before attempting to read data from the heap memory. When processing a crafted DSDIFF file, the function reads header information and attempts to parse configuration data without validating whether the expected data structures conform to acceptable size parameters. This allows an attacker to manipulate the file header to specify buffer sizes that exceed the allocated heap memory boundaries, resulting in memory access violations. The heap-based buffer over-read occurs because the application's memory allocation strategy does not account for malicious input that could cause the read operation to access memory locations beyond the intended buffer limits. The vulnerability's impact extends beyond simple denial-of-service as the heap corruption could potentially enable attackers to overwrite adjacent heap memory regions, which may contain sensitive data or control structures. The exploitation requires minimal privileges since the attack vector operates entirely through file processing, making it particularly dangerous in automated processing environments where audio files are automatically handled without user intervention. This vulnerability represents a classic example of insufficient input sanitization and improper memory boundary checking that has been documented in numerous security advisories and vulnerability assessments.
The operational impact of CVE-2018-7253 extends across multiple domains where WavPack 5.1.0 is deployed, including professional audio editing software, streaming platforms, digital audio workstations, and embedded systems that process high-resolution audio content. Applications that automatically process or validate DSDIFF files without proper input sanitization are particularly vulnerable, as they may crash or become unstable when encountering maliciously crafted files. The vulnerability affects systems that handle audio processing pipelines, media servers, content distribution networks, and any software that integrates WavPack libraries for audio file handling. Security researchers have noted that this type of heap-based buffer over-read vulnerability often serves as a stepping stone for more complex attacks, as the memory corruption can potentially be leveraged to execute arbitrary code or escalate privileges. The remote nature of the attack means that systems are vulnerable even when they are not actively processing audio files, as the vulnerability can be triggered during automated file validation or batch processing operations. Organizations using affected software should consider this vulnerability as a potential entry point for attackers seeking to compromise audio processing systems, particularly in environments where users may encounter untrusted audio content. The vulnerability's presence in widely-used audio processing libraries means that numerous applications and systems may be affected, creating a broad attack surface that extends beyond traditional audio software to include any system that relies on WavPack for audio handling operations. This makes the vulnerability particularly concerning for enterprise environments where audio processing is integrated into broader workflows and automated systems.
Mitigation strategies for CVE-2018-7253 should prioritize immediate software updates to versions that contain patches addressing the buffer over-read condition in the ParseDsdiffHeaderConfig function. System administrators should implement strict file validation policies that include signature verification and content scanning for audio files, particularly those from untrusted sources. The recommended approach includes deploying input sanitization measures that validate all DSDIFF file headers against expected size parameters and structure constraints before processing. Security teams should consider implementing network-based intrusion detection systems that can identify and block suspicious DSDIFF file transfers, particularly in environments where automated audio processing occurs. Additional protective measures include deploying application sandboxing techniques that isolate audio processing functions from critical system resources, and implementing memory protection mechanisms such as heap randomization and stack canaries to reduce the impact of potential memory corruption. Organizations should also establish comprehensive monitoring procedures to detect unusual application behavior or crashes that may indicate exploitation attempts. Regular security assessments and penetration testing should be conducted to verify that patched systems remain secure against similar vulnerabilities. The vulnerability highlights the importance of maintaining current security patches and implementing defense-in-depth strategies that protect against various attack vectors including file-based exploits. Security awareness training for users who handle audio files should emphasize the risks associated with untrusted audio content and the importance of verifying file sources before processing. System administrators should also consider implementing automated patch management processes that ensure all affected software components receive timely security updates. The vulnerability's characteristics align with common exploitation patterns described in security frameworks, making it essential for organizations to maintain robust vulnerability management processes that can quickly address similar issues across their technology infrastructure.