CVE-2025-7579 is a vulnerability identified in version 0.1 of the 'chinese-poetry' software package. The issue arises from inefficient regular expression complexity within the file rank/server.js. Specifically, the vulnerability allows an attacker to craft input that triggers excessive backtracking or computational overhead in the regular expression engine, leading to a denial-of-service (DoS) condition by exhausting CPU resources. This type of vulnerability is commonly known as a Regular Expression Denial of Service (ReDoS). The attack can be initiated remotely without requiring user interaction or authentication, making it accessible to unauthenticated attackers over the network. The CVSS 4.0 base score is 5.3, indicating a medium severity level. The vector details show that the attack vector is network-based (AV:N), with low attack complexity (AC:L), no privileges required (PR:L), no user interaction (UI:N), and limited impact on availability (VA:L). There is no impact on confidentiality or integrity. Although the exploit has been publicly disclosed, there are no known exploits actively used in the wild at this time. The vulnerability affects only version 0.1 of the chinese-poetry package, which suggests limited exposure depending on the adoption of this specific version. The root cause is inefficient regular expression handling in the server.js file, which likely processes user-supplied input related to ranking or querying poetry data. Without a patch currently available, users of this package remain vulnerable to potential DoS attacks that could degrade service availability or cause application crashes.

For European organizations using the chinese-poetry 0.1 package, this vulnerability primarily poses a risk of service disruption due to denial-of-service attacks. Organizations that rely on this package in web applications or APIs could experience degraded performance or outages if targeted by attackers exploiting the inefficient regular expression. While the impact on confidentiality and data integrity is negligible, availability issues could affect business continuity, user experience, and operational reliability. Given the medium severity and the lack of known active exploitation, the immediate risk is moderate. However, public disclosure of the exploit details increases the likelihood of future attacks. European organizations in sectors such as cultural institutions, educational platforms, or software development environments that utilize chinese-poetry for Chinese literature processing or related services are the most likely to be affected. The vulnerability could also be leveraged as part of a multi-vector attack to distract or exhaust resources during larger campaigns. Overall, the impact is focused on availability degradation rather than data breach or system compromise.

To mitigate this vulnerability, European organizations should first identify any usage of the chinese-poetry 0.1 package within their software stacks. Since no patch is currently available, temporary mitigations include implementing input validation and sanitization to restrict or reject inputs that could trigger excessive regular expression processing. Rate limiting and web application firewalls (WAFs) can help detect and block suspicious traffic patterns indicative of ReDoS attempts. Monitoring application performance metrics and logs for unusual spikes in CPU usage or response times can provide early warning signs of exploitation attempts. Organizations should also consider isolating the vulnerable component in a sandboxed environment to limit the impact of potential DoS attacks. Engaging with the package maintainers or community to track patch releases and applying updates promptly once available is critical. Additionally, reviewing and refactoring the regular expressions in the server.js file to use more efficient patterns or alternative parsing methods can eliminate the root cause. Finally, educating developers about the risks of inefficient regular expressions and incorporating static code analysis tools that detect ReDoS patterns can prevent similar vulnerabilities in the future.