CVE-2023-31582 is a high-severity vulnerability affecting the jose4j library prior to version 0.9.3. This vulnerability allows attackers to set a low iteration count of 1000 or less, which can lead to significant integrity issues. With a CVSS score of 7.5, this vulnerability poses a serious risk to organizations utilizing this technology.
The risk to organizations includes the potential for compromised data integrity due to weak encryption practices. This vulnerability highlights a critical flaw in the implementation of password-based encryption mechanisms that rely on iteration counts, which should be sufficiently high to protect against brute-force attacks.
As of now, there is no public exploit available for CVE-2023-31582. However, organizations should prioritize patching immediately to safeguard their applications and prevent potential exploitation. Given the nature of this vulnerability, it is essential for security teams to remain vigilant and proactive in their remediation efforts.
Defenders should closely monitor for updates related to this vulnerability and assess their current usage of the jose4j library. Regular updates and patch management are critical to maintaining security posture.
Vulnerability Details
According to the official CVE description, jose4j before v0.9.3 permits attackers to set a low iteration count of 1000 or less. The CVSS score of 7.5 indicates a high-severity vulnerability, with the following metrics:
Metric | Value |
|---|---|
Attack Vector | NETWORK |
Attack Complexity | LOW |
Privileges Required | NONE |
User Interaction | NONE |
Confidentiality Impact | NONE |
Integrity Impact | HIGH |
Availability Impact | NONE |
The vulnerability is classified under CWE-331, which denotes improper handling of encryption parameters. Organizations should be aware of affected versions, including all versions prior to vendor patch.
Technical Analysis
The root cause of CVE-2023-31582 lies in the library's handling of password-based encryption. By allowing a low iteration count, the library fails to ensure a robust defense against brute-force attacks. The attack vector for this vulnerability is NETWORK, meaning that an attacker can exploit it remotely without requiring physical access to the system.
The attack complexity is rated as LOW, indicating that exploitation could be easily achieved. No privileges are required to exploit this vulnerability, and user interaction is also not needed, making it a straightforward target for attackers.
In terms of impact, the vulnerability does not affect confidentiality or availability, but it poses a high risk to data integrity. Organizations using affected versions of jose4j should take immediate action to mitigate this risk.
Risk & Impact Analysis
Real-world deployment risk associated with this vulnerability is significant, as it allows attackers to manipulate encryption settings, leading to potential data breaches. Risk to organizations includes compromised integrity of sensitive information, which can result in financial loss, reputational damage, and compliance failures.
The blast radius potential is broad, particularly for applications using the jose4j library for secure data handling. Given that the vulnerability allows for low iteration counts, the likelihood of successful brute-force attacks increases, leading to unauthorized access to sensitive data.
Organizations should address this vulnerability in priority patch cycle due to its high CVSS score and the potential for exploitation. Active monitoring for updates and implementing rigorous security controls is essential to mitigate the risks associated with this vulnerability.
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
All versions of jose4j prior to v0.9.3 are affected by this vulnerability. Organizations should ensure they upgrade to the patched version to mitigate the risks associated with this flaw.
Mitigation & Remediation
To remediate this vulnerability, organizations are advised to upgrade to jose4j version 0.9.3 or later. As an interim measure, if upgrading is not immediately possible, consider implementing configuration hardening measures to restrict access to the affected components.
Additionally, organizations should review their encryption practices to ensure that iteration counts are set to appropriate levels. Regular security assessments can help identify similar weaknesses.
For further guidance on implementing effective security measures, organizations can refer to best practices for penetration testing methodology and secure coding practices.
Detection Guidance
To detect potential exploitation of CVE-2023-31582, organizations should monitor logs for unusual access patterns or failed authentication attempts that may indicate brute-force attempts.
Behavioral anomalies in encryption settings should also be flagged for review. Regular audits of encryption configurations and security controls can help detect and mitigate potential issues.
AppSecure Threat Intelligence Insight
CVE-2023-31582 represents a notable risk in the landscape of cryptographic vulnerabilities. Organizations must remain proactive in understanding the implications of weak encryption practices, as they can have far-reaching effects on data security.
This vulnerability underscores the importance of implementing robust security protocols and regular code reviews to identify potential weaknesses early. Security teams should be equipped with knowledge of common vulnerabilities to better defend against threats.
To enhance security posture, organizations can explore services such as red teaming and continuous penetration testing to identify potential vulnerabilities in their systems.
By staying informed and adopting comprehensive security measures, organizations can significantly reduce the risks associated with vulnerabilities such as CVE-2023-31582.
Known Exploitation Timeline
This section is not applicable as there are no known exploitation details for CVE-2023-31582.
EPSS Risk Context
The EPSS score for this vulnerability is 0.001670000, placing it in the 0.3794 percentile. This indicates a low probability of exploitation in the near term, but organizations should not underestimate the potential impact if exploited.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

.webp)