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CVE-2025-14856: Code Injection in y_project RuoYi

0
Medium
VulnerabilityCVE-2025-14856cvecve-2025-14856
Published: Thu Dec 18 2025 (12/18/2025, 01:32:07 UTC)
Source: CVE Database V5
Vendor/Project: y_project
Product: RuoYi

Description

A security vulnerability has been detected in y_project RuoYi up to 4.8.1. The affected element is an unknown function of the file /monitor/cache/getnames. Such manipulation of the argument fragment leads to code injection. The attack can be executed remotely. The exploit has been disclosed publicly and may be used.

AI-Powered Analysis

Machine-generated threat intelligence

AILast updated: 02/24/2026, 23:03:01 UTC

Technical Analysis

CVE-2025-14856 is a code injection vulnerability identified in the y_project RuoYi framework, specifically affecting versions 4.8.0 and 4.8.1. The vulnerability resides in an unknown function within the /monitor/cache/getnames file, where improper handling of an argument fragment allows an attacker to inject malicious code. This flaw can be exploited remotely without requiring user interaction, but it does require low-level privileges (PR:L). The CVSS 4.0 base score is 5.3, indicating a medium severity level. The attack vector is network-based (AV:N), with low attack complexity (AC:L), no privileges required for attack initiation (PR:L), and no user interaction (UI:N). The vulnerability impacts confidentiality, integrity, and availability, albeit with limited scope and impact (VC:L, VI:L, VA:L). Although no known exploits are currently active in the wild, the public disclosure of exploit code increases the likelihood of exploitation attempts. The vulnerability's root cause is insufficient input validation or sanitization in the argument fragment processing, leading to code injection. This can allow attackers to execute arbitrary commands or code on the affected system, potentially leading to full system compromise or lateral movement within a network. The lack of available patches at the time of disclosure necessitates immediate mitigation efforts by organizations using affected versions.

Potential Impact

The vulnerability allows remote attackers to execute arbitrary code on systems running vulnerable versions of RuoYi, potentially leading to full system compromise. This can result in unauthorized access to sensitive data, disruption of services, and the ability to pivot within internal networks. The medium CVSS score reflects moderate ease of exploitation combined with significant impact on confidentiality, integrity, and availability. Organizations relying on RuoYi for monitoring or caching services may face operational disruptions and data breaches if exploited. The public disclosure of exploit code increases the risk of automated attacks and widespread exploitation attempts. The vulnerability could be leveraged by threat actors to establish persistent access, deploy malware, or exfiltrate data, impacting business continuity and reputation.

Mitigation Recommendations

1. Immediately restrict network access to the /monitor/cache/getnames endpoint using firewalls or web application firewalls (WAFs) to limit exposure to untrusted networks. 2. Implement strict input validation and sanitization on all user-supplied data, especially the argument fragment processed by the vulnerable function. 3. Monitor logs and network traffic for unusual or suspicious requests targeting the vulnerable endpoint. 4. Apply principle of least privilege to limit the permissions of services running RuoYi, reducing the impact of potential exploitation. 5. Stay alert for official patches or updates from the y_project maintainers and apply them promptly once released. 6. Consider deploying runtime application self-protection (RASP) or endpoint detection and response (EDR) solutions to detect and block exploitation attempts. 7. Conduct internal audits and penetration testing to identify any exploitation or related vulnerabilities in the environment. 8. Educate development and operations teams about secure coding practices to prevent similar injection flaws in future releases.

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Technical Details

Data Version
5.2
Assigner Short Name
VulDB
Date Reserved
2025-12-17T20:58:53.506Z
Cvss Version
4.0
State
PUBLISHED

Threat ID: 69435e96f4a1ba78f2daa41d

Added to database: 12/18/2025, 1:53:26 AM

Last enriched: 2/24/2026, 11:03:01 PM

Last updated: 3/24/2026, 7:44:44 PM

Views: 154

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