Due to a failure in validating the number of scanline samples of an OpenEXR file containing deep scanline data, Academy Software Foundation OpenEXR image parsing library version 3.2.1 and prior is susceptible to a heap-based buffer overflow vulnerability. This vulnerability allows attackers to exploit the system, leading to potential unauthorized access and data compromise. The severity of this vulnerability is classified as critical with a CVSS score of 9.1.
Risk to organizations includes high confidentiality and integrity impacts, as the vulnerability can be exploited remotely without authentication or user interaction. Given the ease of exploitation and the potential for significant damage, organizations should prioritize patching immediately.
The issue has been resolved in versions 3.2.2 and 3.1.12 of the affected library. Organizations utilizing the vulnerable versions must act swiftly to upgrade to the latest releases to mitigate this risk.
As of now, there are no known public exploits or proofs of concept available for this vulnerability; however, the potential for exploitation remains high due to its critical nature.
Vulnerability Details
The OpenEXR library version 3.2.1 and prior is vulnerable to a heap-based buffer overflow vulnerability caused by insufficient validation of scanline samples in OpenEXR files. The CVSS score for this vulnerability is 9.1, indicating a critical severity level, which signifies the potential for significant impact on confidentiality and integrity.
The vulnerability falls under the CWE-122 (Heap-based Buffer Overflow) and CWE-787 (Out-of-bounds Write) categories, highlighting the nature of the exploitation vector and the risks associated with improper validation.
Technical Analysis
The root cause of this vulnerability stems from a failure in the OpenEXR library to properly validate the number of scanline samples within deep scanline data. Attackers may leverage this oversight to craft malicious OpenEXR files that, when processed by the vulnerable library, can lead to heap corruption.
The attack vector is through a network, and the complexity of the attack is low. No privileges are required, and user interaction is not necessary, making it particularly dangerous. The confidentiality impact is high, as sensitive data could be accessed, while the integrity impact is also high, as an attacker could alter data.
Due to the nature of the vulnerability, availability impact is not applicable.
Risk & Impact Analysis
The real-world deployment risk associated with this vulnerability is significant, especially for organizations that rely on the OpenEXR library for image processing. The potential for unauthorized access and tampering of sensitive data poses a serious threat to organizations’ confidentiality and integrity.
Given the critical CVSS score of 9.1, organizations should address this vulnerability in their priority patch cycle. The blast radius could be extensive, considering the possible exploitation through network vectors, affecting any system utilizing the vulnerable versions of the OpenEXR library.
Organizations should stay vigilant and monitor for any signs of exploitation attempts while prioritizing remediation efforts.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The vulnerable versions of the OpenEXR library include all versions prior to v3.2.2 and v3.1.12. Organizations should ensure they are using these patched versions to eliminate risk.
Mitigation & Remediation
To mitigate this vulnerability, organizations must update their OpenEXR libraries to the latest versions, specifically v3.2.2 or v3.1.12. If immediate patching is not feasible, organizations should consider implementing workarounds such as restricting access to systems processing OpenEXR files and monitoring for any suspicious activity.
For further assistance in securing your systems, organizations may consider utilizing penetration testing services to identify vulnerabilities.
Detection Guidance
Organizations should monitor logs for any unusual access patterns or errors related to OpenEXR file processing. Behavioral anomalies, such as unexpected crashes or memory leaks, could be indicative of exploitation attempts. Additionally, implementing network signatures to detect malicious payloads may enhance security.
AppSecure Threat Intelligence Insight
The long-term significance of this vulnerability highlights the importance of robust input validation in software libraries. It serves as a reminder for security teams to conduct thorough security assessments and to prioritize vulnerability management processes.
This vulnerability represents a pattern of vulnerabilities arising from improper handling of external data, emphasizing the need for secure coding practices. For additional insights into vulnerability management, organizations can refer to our vulnerability management program and our penetration testing methodology resources to enhance your security posture.
Organizations are encouraged to adopt a proactive approach to security and to stay informed of emerging threats and vulnerabilities.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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