A defect was discovered in the Python “ssl” module where there is a memory race condition with the ssl.SSLContext methods “cert_store_stats()” and “get_ca_certs()”. The race condition can be triggered if the methods are called at the same time as certificates are loaded into the SSLContext, such as during the TLS handshake with a certificate directory configured. This issue is fixed in CPython 3.10.14, 3.11.9, 3.12.3, and 3.13.0a5.
The severity of this vulnerability is classified as high, with a CVSS score of 7.4. This indicates a significant risk to organizations, especially those relying on the affected Python versions for secure communications. Given the exploitability, organizations should prioritize patching immediately.
The attack vector is classified as network-based, and the vulnerability allows attackers to potentially exploit the race condition during the TLS handshake process. Therefore, immediate action is recommended to mitigate this risk, especially for environments that depend heavily on secure communications.
Organizations must monitor their systems for any unusual behavior that might indicate exploitation attempts. The urgency surrounding this vulnerability underscores the need for swift action to protect sensitive data and maintain the integrity of secure communications.
Vulnerability Details
The vulnerability identified as CVE-2024-0397 involves a defect in the Python ssl module, specifically regarding memory race conditions during certificate handling operations. The vulnerability is classified under CWE-362, which relates to race conditions.
The CVSS 3.1 vector string for this vulnerability is CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:N/A:H, indicating a high attack complexity and a high impact on confidentiality and availability.
This vulnerability is present in all versions of the Python ssl module before the patches were made available in the mentioned CPython releases. Organizations using affected versions should take immediate steps to update to the latest versions.
Technical Analysis
The root cause of this vulnerability lies in the race condition that occurs when the ssl.SSLContext methods cert_store_stats() and get_ca_certs() are executed simultaneously with the loading of certificates into the SSLContext. This can lead to unpredictable behavior and potential exposure of sensitive information.
The attack vector is network-based, meaning that an attacker could potentially exploit this vulnerability remotely, particularly during a TLS handshake. The attack complexity is rated as high, requiring specific conditions to be met for exploitation.
No user interaction is required for exploitation, and the vulnerability does not necessitate any privileges to trigger. The potential impacts include high confidentiality and availability concerns, as successful exploitation could lead to unauthorized access or service disruption.
Organizations should be aware of the implications of this vulnerability and implement necessary monitoring to detect any anomalies that may indicate an exploitation attempt.
Risk & Impact Analysis
Risk to organizations includes potential data exposure and service interruptions caused by the memory race condition in the SSL module. Given the nature of this vulnerability, the potential for significant damage is high, especially for organizations that rely heavily on secure communications.
The blast radius for this vulnerability is substantial, affecting any application utilizing the vulnerable versions of the Python ssl module. Organizations should conduct a thorough assessment of their environments to identify any systems at risk.
Given the CVSS score of 7.4, organizations must address this vulnerability in their priority patch cycle. The urgency for remediation cannot be overstated, as failing to act promptly may expose sensitive data and lead to regulatory repercussions.
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
This vulnerability affects all versions of the Python ssl module prior to the following patched releases: CPython 3.10.14, 3.11.9, 3.12.3, and 3.13.0a5. Organizations using these versions should take immediate measures to upgrade.
Mitigation & Remediation
To mitigate this vulnerability, organizations should update their Python installations to the patched versions listed above. For those unable to upgrade immediately, consider implementing configuration hardening and network controls to limit exposure while remediation is underway.
Monitoring for unusual behavior during TLS handshakes can also help detect attempts to exploit this vulnerability. Security teams should also review their incident response plans to ensure they are prepared for any potential exploitation attempts.
Security testing can further validate remediation effectiveness against this vulnerability.
Detection Guidance
Log indicators to monitor include any unexpected errors or anomalies related to SSL context configurations. Additionally, behavioral anomalies during TLS handshakes should be closely observed.
Network signatures related to SSL connections may also help in identifying potential exploitation attempts. Organizations should ensure that their logging systems are configured to capture relevant data for forensic analysis.
AppSecure Threat Intelligence Insight
The long-term significance of CVE-2024-0397 highlights the critical importance of secure coding practices and rigorous testing within the development lifecycle. Security teams must pay close attention to memory management and concurrency issues to prevent similar vulnerabilities.
This vulnerability serves as a reminder of the need for continuous security assessments and reviews of existing codebases. Organizations should consider integrating penetration testing methodologies into their development practices to identify and remediate vulnerabilities early.
The pattern of race condition vulnerabilities, as highlighted by CVE-2024-0397, emphasizes the need for thorough code reviews and automated testing to catch potential issues before they reach production. Security teams must take proactive steps to secure their development environments.
For more insights on enhancing security practices, organizations can reference comprehensive guides on vulnerability management programs and API security best practices to further bolster their security posture.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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