CVE-2024-25355 identifies a denial of service vulnerability in the s3-url-parser library version 1.0.3, specifically related to the use of inefficient or poorly constructed regular expressions. The vulnerability is classified under CWE-400, which pertains to uncontrolled resource consumption. When the vulnerable regex component processes specially crafted input, it can cause excessive CPU or memory usage, leading to application or service crashes or significant slowdowns. This vulnerability can be exploited remotely without requiring any privileges or user interaction, making it accessible to unauthenticated attackers. The s3-url-parser library is commonly used to parse Amazon S3 URLs in various applications, meaning that any software depending on this library could be affected. Although no patches or fixes have been released yet, the vulnerability has been publicly disclosed and assigned a CVSS 3.1 score of 7.5, indicating a high severity primarily due to its impact on availability. No known exploits have been reported in the wild, but the potential for denial of service attacks exists if the vulnerability is leveraged. The lack of impact on confidentiality or integrity confines the threat to service disruption. The vulnerability was reserved in early February 2024 and published in May 2024, signaling recent discovery and disclosure.

The primary impact of CVE-2024-25355 is denial of service, which can disrupt the availability of applications or services relying on the s3-url-parser library. This can lead to downtime, degraded user experience, and potential cascading failures in systems that depend on S3 URL parsing for critical operations. Organizations using this library in web services, cloud management tools, or backend systems may face service interruptions if targeted by attackers exploiting this vulnerability. Although the vulnerability does not compromise confidentiality or integrity, the loss of availability can affect business continuity, customer trust, and operational efficiency. The ease of remote exploitation without authentication increases the risk profile, especially for internet-facing applications. The absence of known exploits suggests limited immediate threat, but the public disclosure may prompt attackers to develop exploits. The impact is more pronounced for organizations with high reliance on S3 URL parsing in automated workflows or cloud-native applications.

Until an official patch is released, organizations should implement specific mitigations to reduce exposure. These include: 1) Implement input validation and sanitization to detect and block suspicious or malformed S3 URLs before they reach the s3-url-parser component. 2) Employ rate limiting and throttling on endpoints that process S3 URLs to prevent resource exhaustion from repeated malicious requests. 3) Monitor application logs and performance metrics for unusual spikes in CPU or memory usage indicative of regex-based DoS attempts. 4) Consider isolating or sandboxing the parsing functionality to limit the impact of potential crashes. 5) Evaluate alternative libraries or updated versions that do not exhibit this vulnerability if feasible. 6) Keep abreast of vendor or community updates for patches and apply them promptly once available. 7) Use Web Application Firewalls (WAFs) with custom rules to detect and block attack patterns targeting regex vulnerabilities. These targeted actions go beyond generic advice and focus on controlling input, limiting resource consumption, and monitoring for exploitation attempts.