CVE-2024-6197 is a high-severity vulnerability affecting the haxx libcurl library. It stems from a flaw in the ASN1 parser's utf8asn1str() function, which processes ASN.1 UTF-8 strings. When the function detects an invalid field, it returns an error but inadvertently calls free() on a 4-byte local stack buffer. This error can lead to significant security risks, including memory corruption.
With a CVSS score of 7.5, the vulnerability falls into the high-severity category, indicating that the potential impact on affected systems is serious. The vulnerability is particularly concerning because it can allow for the overwriting of nearby stack memory, which may result in crashes or other unpredictable behavior.
Organizations using libcurl should prioritize addressing this vulnerability. Although there is currently no known exploit, the potential for severe outcomes necessitates immediate attention. Users are encouraged to monitor updates from the vendor and apply patches as soon as they become available.
Risk to organizations includes potential service disruptions and unexpected behavior of applications relying on libcurl. Given the vulnerability's nature and impact, organizations should adopt a proactive stance in remediating this issue.
Vulnerability Details
The vulnerability in libcurl is characterized by its ASN1 parser's utf8asn1str() function, which fails to handle invalid inputs properly. When an error is detected, the function calls free() on a local stack buffer, creating a scenario where memory corruption can occur. This issue is exacerbated by the handling of memory by different malloc implementations, which may either abort execution or accept the faulty pointer and corrupt stack memory.
As a result, the most likely outcome of exploiting this flaw is a crash of the affected application, although there remains a risk of more severe consequences in specific conditions. The vulnerability has been assigned a CVSS score of 7.5, indicating a high severity due to its potential impact on system availability.
Technical Analysis
The root cause of CVE-2024-6197 lies in the improper error handling within the utf8asn1str() function of libcurl's ASN1 parser. The attack vector is categorized as network-based, allowing attackers to exploit the vulnerability remotely. With low attack complexity and no privileges required, this flaw is particularly dangerous.
The attack does not require user interaction, and the confidentiality and integrity impacts are negligible, while the availability impact is rated as high. This combination of factors underscores the need for swift remediation by organizations using the affected versions of libcurl.
Risk & Impact Analysis
The deployment of libcurl in various applications increases the risk associated with CVE-2024-6197. Organizations that rely on this library are vulnerable to potential crashes and service interruptions, which can have cascading effects on their operations. High availability and uptime are crucial for many businesses, making this vulnerability a significant concern.
Urgency for remediation is categorized as high, given the CVSS score of 7.5 and the potential impact on availability. Organizations should assess their usage of libcurl and prioritize updating to patched versions as soon as they are released. The blast radius of this vulnerability could extend beyond individual applications, affecting broader systems and user experience.
Exploitation Status
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The vulnerability affects libcurl versions starting from 8.6.0 up to, but not including, 8.9.0. Organizations utilizing these versions should prepare for patching as soon as updates are available to mitigate the risks associated with this vulnerability.
Mitigation & Remediation
Organizations should prioritize applying available patches for libcurl to remediate CVE-2024-6197. For those unable to immediately update, consider implementing workarounds such as input validation or limiting the use of affected functions until a proper patch can be deployed. Additionally, enhancing configuration hardening around the library's usage may help reduce exposure to this vulnerability.
For more extensive protection, organizations may also consider engaging in penetration testing to identify potential weaknesses in their implementation of libcurl and other libraries.
Detection Guidance
To detect any potential exploitation attempts related to this vulnerability, organizations should monitor logs for unusual memory access patterns or application crashes that correlate with the use of libcurl. Behavioral anomalies in applications utilizing libcurl may also indicate attempts to exploit this vulnerability. Regular reviews of application logs can assist in identifying such events.
AppSecure Threat Intelligence Insight
The long-term significance of CVE-2024-6197 underscores a recurring issue in memory management within widely used libraries like libcurl. Security teams must remain vigilant in monitoring and mitigating vulnerabilities that can lead to critical failures in application security. This incident highlights the importance of routine vulnerability assessments and adopting a comprehensive security posture.
Organizations are encouraged to learn from this vulnerability and implement best practices in their development processes to avoid similar issues in the future. For a deeper understanding of vulnerability management and penetration testing methodologies, refer to the following resources: vulnerability management program design, penetration testing methodology, and manual penetration testing to enhance their security practices.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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