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CVE-2024-41818: High Vulnerability in NaturalIntelligence fast-xml-parser

A high severity vulnerability has been identified in the NaturalIntelligence fast-xml-parser affecting versions prior to 4.4.1. Organizations are urged to prioritize patching to mitigate potential risks associated with this ReDOS vulnerability.

HIGHCVSS 7.5 · Published July 29, 2024

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The vulnerability identified as CVE-2024-41818 affects the NaturalIntelligence fast-xml-parser, an open source, pure JavaScript XML parser. This vulnerability allows for a Regular Expression Denial of Service (ReDOS) attack through the currency.js module. It is critical to note that this issue has been addressed in version 4.4.1 of the parser.

With a CVSS score of 7.5, this vulnerability is classified as high severity. The impact is particularly concerning due to its potential to disrupt availability, making it essential for organizations utilizing this parser to implement the latest updates promptly.

The risk to organizations includes service outages that could result from an attack exploiting this vulnerability. Attackers may leverage this weakness to initiate denial of service conditions, thereby affecting the availability of the applications that rely on fast-xml-parser.

As of the latest information, there is no known exploit in the wild for this vulnerability, but the nature of ReDOS vulnerabilities means that they can be exploited with minimal effort. Organizations should prioritize patching immediately.

Vulnerability Details

The vulnerability is a result of improper handling of regular expressions in the currency.js file within the fast-xml-parser library. The CVSS vector for this vulnerability is CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H, indicating that it can be exploited over a network with low complexity and no privileges required.

The affected product is the fast-xml-parser, specifically version 4.2.4 and prior. This vulnerability was published on July 29, 2024, and falls under the CWE classifications CWE-400 (Uncontrolled Resource Consumption) and CWE-1333 (Improper Handling of Resource Consumption).

Technical Analysis

The root cause of the vulnerability lies in the regular expression processing within the currency.js module, which does not effectively constrain input, leading to potential denial of service through excessive resource consumption.

The attack vector is network-based, requiring no user interaction, and the complexity of the attack is low. Given that no privileges are required to exploit this vulnerability, it poses a significant risk to any organization utilizing the affected versions of the fast-xml-parser.

In terms of impact, this vulnerability has a high impact on availability, meaning that successful exploitation could render the affected services inoperative, leading to potential downtime and loss of service for users.

Risk & Impact Analysis

Organizations using the fast-xml-parser are at risk of service disruptions due to this high-severity vulnerability. The potential blast radius could affect all applications utilizing the parser, leading to widespread availability issues if exploited. The urgency for remediation is high, and organizations should address this in priority patch cycles.

The CVSS score of 7.5 indicates a significant risk, and while no exploit has been confirmed in the wild, the nature of ReDOS vulnerabilities suggests that they could be weaponized easily. Therefore, organizations must act swiftly to mitigate the risks associated with this vulnerability.

Exploitation Status

Signal

Status

Known Exploit

No

Public PoC

No

Actively Exploited

No

Ransomware Use

No

Affected Versions

The vulnerable version of the fast-xml-parser is 4.2.4 and prior. Organizations should upgrade to version 4.4.1 or later to mitigate the risk associated with this vulnerability.

Mitigation & Remediation

Organizations should immediately upgrade to version 4.4.1 of fast-xml-parser to remediate this vulnerability. If upgrading is not feasible, consider applying workarounds that involve input validation to limit the exposure to ReDOS attacks.

For further security, organizations should implement configuration hardening and network controls to limit access to the affected services. Additionally, monitoring for unusual resource consumption patterns can help in early detection of potential exploitation attempts.

For more information on penetration testing and ongoing security assessments, organizations can explore penetration testing services to ensure their systems are resilient against vulnerabilities.

Detection Guidance

To detect potential exploitation attempts, organizations should monitor logs for indicators of unusual resource usage patterns, which may suggest ongoing ReDOS attacks. Behavioral anomalies in application performance should also be investigated.

Network signatures that correlate with excessive resource consumption can signal exploitation attempts. Regular reviews of system changes can help identify any unauthorized modifications that may have occurred as a result of an attack.

AppSecure Threat Intelligence Insight

This vulnerability highlights the ongoing need for organizations to remain vigilant regarding third-party libraries. As supply chains become more complex, vulnerabilities like CVE-2024-41818 can have significant implications for application security.

Security teams should establish comprehensive vulnerability management programs to regularly assess and address risks associated with dependencies. Strategies such as continuous penetration testing can help identify and mitigate such vulnerabilities.

For insights on securing applications and managing vulnerabilities, organizations can refer to the following resources: vulnerability management best practices, penetration testing methodology, and AI security best practices to strengthen their defenses.

Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.

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