CVE-2025-14531 identifies a CRLF (Carriage Return Line Feed) injection vulnerability in the code-projects Rental Management System version 2.0, specifically within an unspecified function in the Transaction.java file of the Log Handler component. CRLF injection occurs when an attacker can insert CR and LF characters into input fields that are subsequently logged or used in HTTP headers, enabling manipulation of log files or HTTP responses. This vulnerability is remotely exploitable without requiring user interaction or elevated privileges, with a low attack complexity, as indicated by the CVSS vector (AV:N/AC:L/PR:L/UI:N). The vulnerability could allow attackers to perform log injection or HTTP response splitting attacks, potentially leading to log poisoning, misleading log analysis, or even facilitating further attacks such as cross-site scripting or cache poisoning if HTTP headers are affected. Although no known exploits are currently active in the wild, the public disclosure of exploit code increases the risk of exploitation. The vulnerability affects only version 2.0 of the product, and no official patches or mitigation links are currently provided. The lack of authentication requirement and the remote attack vector make this vulnerability significant for organizations relying on this software for rental management operations. The vulnerability impacts the integrity and availability of systems by corrupting logs and potentially disrupting normal HTTP communications. The medium CVSS score of 5.3 reflects moderate severity, balancing the ease of exploitation against the limited scope of impact. Organizations should assess their exposure, especially if they use version 2.0 of this software, and implement input validation and output encoding to mitigate injection risks.

For European organizations, the impact of CVE-2025-14531 can be significant in sectors relying on rental management systems, such as real estate, vehicle rentals, and equipment leasing. The vulnerability could allow attackers to manipulate log files, which are critical for auditing and forensic investigations, thereby undermining incident response capabilities and compliance with regulations like GDPR. HTTP response splitting could lead to web cache poisoning or cross-site scripting, potentially exposing sensitive customer data or enabling session hijacking. This can damage organizational reputation and lead to regulatory penalties. The remote exploitability without user interaction increases the risk of automated attacks targeting vulnerable systems. Disruption of rental management operations could affect business continuity, especially for companies with large portfolios or high transaction volumes. The absence of patches means organizations must rely on compensating controls, increasing operational overhead. Overall, the vulnerability threatens confidentiality, integrity, and availability of affected systems and data within European organizations.

European organizations using code-projects Rental Management System 2.0 should immediately conduct a thorough inventory to identify affected instances. In the absence of official patches, implement strict input validation and sanitization on all user inputs that interact with logging mechanisms, ensuring CR and LF characters are filtered or encoded. Review and harden logging frameworks to reject or safely handle suspicious input. Employ web application firewalls (WAFs) with custom rules to detect and block CRLF injection patterns. Monitor logs for anomalies indicative of injection attempts or log poisoning. Restrict network access to the management interfaces to trusted IP ranges and enforce least privilege principles for system accounts. Engage with the vendor for patch timelines and consider upgrading to newer versions if available. Conduct security awareness training for developers and administrators about injection risks. Implement robust incident detection and response plans to quickly identify and mitigate exploitation attempts. Finally, consider deploying runtime application self-protection (RASP) solutions to detect and block injection attacks in real time.