CVE-2024-1580 is a medium severity vulnerability affecting the dav1d AV1 decoder, utilized by Apple products such as macOS and Safari. This vulnerability allows for an integer overflow when decoding videos with large frame sizes, potentially leading to memory corruption within the decoder. The CVSS score for this vulnerability is 5.9, indicating a moderate risk for affected systems.
Organizations utilizing affected products must recognize the potential impact of this vulnerability. While it is not classified as high severity, the risk to organizations includes potential memory corruption, which could lead to further exploitation in a networked environment. As such, timely remediation is crucial.
It is important to note that there are currently no known exploits available for this vulnerability, which provides organizations with a window to address the issue. However, the absence of known exploits should not diminish the urgency of applying the appropriate patches.
Organizations should prioritize patching immediately to prevent any potential exploitation of this vulnerability. The recommended action is to upgrade to a version of dav1d newer than 1.4.0, as this will effectively mitigate the risk associated with CVE-2024-1580.
Vulnerability Details
The vulnerability stems from an integer overflow in the dav1d AV1 decoder, which occurs during the decoding of videos with large frame sizes. This flaw can lead to memory corruption, impacting the confidentiality and integrity of the affected systems. The vulnerability is classified under CWE-190.
The CVSS vector for this vulnerability is CVSS:3.1/AV:A/AC:H/PR:L/UI:N/S:U/C:L/I:H/A:L, reflecting an attack vector of ADJACENT_NETWORK, high attack complexity, and low privileges required for exploitation.
Affected products include various Apple technologies such as macOS, Safari, iOS, iPadOS, and the dav1d decoder. The publication date of this vulnerability was February 19, 2024.
Technical Analysis
The root cause of CVE-2024-1580 lies in the handling of large video frames within the dav1d AV1 decoder. Specifically, an integer overflow occurs, which can lead to unexpected behavior and memory corruption. Attackers exploiting this vulnerability could potentially cause instability in the software or gain unauthorized access to sensitive information.
The attack vector is classified as ADJACENT_NETWORK, which indicates that an attacker would need to be on the same network segment as the victim to exploit this vulnerability. The complexity of the attack is high, meaning that it requires significant effort and expertise to successfully exploit the vulnerability. Additionally, no user interaction is required to trigger the overflow condition.
The potential impacts of this vulnerability are varied. A successful exploit could lead to a low impact on confidentiality, a high impact on integrity, and a low impact on availability. This means that while an attacker may not be able to access confidential data directly, they could compromise the integrity of the software, potentially affecting the performance of the affected technologies.
Risk & Impact Analysis
The real-world deployment risk associated with CVE-2024-1580 is moderate. Organizations using affected technologies must recognize that the potential for memory corruption could lead to severe consequences if exploited. This vulnerability could serve as a foothold for further attacks, especially in environments where video processing is common.
The urgency assessment based on the CVSS score indicates that while immediate action is necessary, this vulnerability may not require the same level of urgency as higher-scored vulnerabilities. Nevertheless, organizations should prioritize addressing this vulnerability in their patch management cycle.
With the current threat landscape, the potential blast radius of this vulnerability should not be underestimated. Affected products are widely used, making it critical for organizations to ensure they are protected against any potential exploitation.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The versions impacted by CVE-2024-1580 include all versions of dav1d prior to 1.4.0, Safari versions prior to 17.4.1, iPadOS versions prior to 16.7.7, and other Apple operating systems affected include iPhone OS and macOS in specific ranges.
Mitigation & Remediation
To mitigate the risks associated with this vulnerability, organizations are advised to upgrade to a version of dav1d greater than 1.4.0. This will effectively address the integer overflow issue and prevent potential exploitation.
For organizations unable to upgrade immediately, consider implementing network controls to limit access to affected systems. Monitoring for unusual behavior in video processing applications may also help detect any attempts to exploit this vulnerability.
More details on effective remediation strategies can be found through application security assessment services.
Detection Guidance
Organizations should monitor logs for indicators related to video processing failures or unusual memory usage patterns. Behavioral anomalies within the application could signal an attempted exploitation of the vulnerability.
Network signatures that identify unusual traffic patterns when large video files are processed may also be beneficial in detecting potential exploit attempts.
AppSecure Threat Intelligence Insight
The long-term significance of CVE-2024-1580 highlights the importance of secure coding practices, especially in components such as video decoders that handle potentially malicious input. This vulnerability represents a trend where improper input validation can lead to severe consequences.
Security teams should take this as a lesson to enhance their review processes and incorporate more robust testing for edge cases, particularly in multimedia processing applications.
To further strengthen defenses against similar vulnerabilities, organizations may consider strategies such as red teaming exercises and regular security audits.
For comprehensive insights on risk management, organizations are encouraged to explore penetration testing methodologies that can help identify and address vulnerabilities effectively.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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