CVE-2024-47537 is a high-severity vulnerability in GStreamer, a library for constructing graphs of media-handling components. This vulnerability allows attackers to exploit an integer overflow that occurs when the program attempts to reallocate memory based on user input, specifically the samples_count read from an input file. If this value is excessively large, it can lead to a situation where the program allocates insufficient memory, resulting in an out-of-bounds write (OOB-write). The details surrounding this issue indicate potential for serious consequences, as it could allow for significant corruption of memory and system instability.
With a CVSS score of 8.6, this vulnerability has been classified as high severity, making it imperative for organizations utilizing GStreamer to address it promptly. The risk to organizations includes potential data corruption, service disruption, and unauthorized access to sensitive information, emphasizing the need for immediate remediation efforts.
Currently, there are no known exploits for this vulnerability, which provides a window for organizations to implement fixes before they are potentially targeted. GStreamer has released a patch in version 1.24.10, which directly addresses this vulnerability, and it is critical that users upgrade to this version or later.
Organizations should prioritize patching immediately to mitigate risks associated with this high-severity vulnerability. Regular updates and maintenance of software libraries like GStreamer are essential for maintaining security and integrity.
Vulnerability Details
The official CVE description states that the vulnerability arises from GStreamer’s handling of memory allocation with the stream->samples pointer. The attempt to accommodate an oversized samples_count can lead to an integer overflow, which in turn permits an OOB-write. This issue stems from a lack of proper validation when reading the samples_count from the input file.
The vulnerability has a CVSS score of 8.6, indicating a high severity level due to its potential impacts on confidentiality, integrity, and availability—each rated as high. The affected product is GStreamer, and the vulnerability was published on December 12, 2024.
Technical Analysis
The root cause of CVE-2024-47537 lies in how GStreamer processes memory allocation. Specifically, the addition of stream->n_samples and samples_count can result in an integer overflow, which subsequently leads to insufficient memory being allocated. This condition is exploited when the program iterates over samples_count elements to write data, potentially exceeding the allocated memory, resulting in an out-of-bounds write.
The attack vector for this vulnerability is local, with low complexity and no privileges required for exploitation. There is no user interaction needed for an attacker to execute an exploit, which makes this vulnerability particularly dangerous. The impacts on confidentiality, integrity, and availability are all rated as high, indicating severe implications for systems using the affected versions of GStreamer.
Risk & Impact Analysis
The real-world risk posed by CVE-2024-47537 is significant. Organizations utilizing GStreamer in media processing applications are particularly vulnerable to exploitation. The potential for memory corruption can lead to application crashes or, worse, the execution of arbitrary code, giving attackers full control over compromised systems.
Given the CVSS score of 8.6, organizations are urged to address this vulnerability in their patch management cycles. The urgency is compounded by the fact that successful exploitation could lead to extensive data exposure and service disruptions across affected systems. The blast radius could be substantial, especially for organizations that rely on GStreamer in critical infrastructure.
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The vulnerability affects all versions of GStreamer prior to 1.24.10. Organizations using these versions should upgrade to the latest version to mitigate potential risks associated with this vulnerability.
Mitigation & Remediation
To remediate this vulnerability, organizations should upgrade their GStreamer installations to version 1.24.10 or later. If immediate upgrading is not feasible, consider implementing network segmentation to limit exposure to the vulnerability. Regular monitoring and auditing of systems utilizing GStreamer can also help identify potential misuse or exploitation attempts.
Organizations should validate remediation through penetration testing to identify similar weaknesses.
Detection Guidance
To detect potential exploitation of this vulnerability, organizations should monitor application logs for unusual memory access patterns. Additionally, behavioral anomalies during media processing tasks can serve as indicators of compromise. Implementing network intrusion detection systems (IDS) to identify malicious traffic targeting GStreamer can also aid in early detection.
AppSecure Threat Intelligence Insight
The long-term significance of CVE-2024-47537 highlights the ongoing challenges related to memory management in software libraries. As software becomes increasingly complex, vulnerabilities in critical libraries like GStreamer can have far-reaching implications. This incident underscores the importance of robust testing and validation processes in development cycles.
Security teams should take note of the patterns observed in this vulnerability, particularly regarding integer overflow issues. Continuous education and awareness regarding such vulnerabilities can significantly improve defensive strategies against similar attacks.
To bolster defenses, organizations should engage in penetration testing methodologies and incorporate findings into their security posture.
Furthermore, organizations should develop a comprehensive vulnerability management program that addresses not only current vulnerabilities but also anticipates future risks.
Finally, organizations can benefit from engaging in threat modeling practices to identify and mitigate risks proactively.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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