CVE-2025-58644 is a high-severity vulnerability classified under CWE-502, which pertains to the deserialization of untrusted data. This vulnerability affects the enituretechnology product "LTL Freight Quotes - TQL Edition" up to version 1.2.6. Deserialization vulnerabilities occur when an application deserializes data from untrusted sources without sufficient validation, allowing attackers to manipulate serialized objects to inject malicious payloads. In this specific case, the vulnerability enables object injection, which can lead to remote code execution or other malicious actions by crafting specially crafted serialized objects that the application processes. The CVSS 3.1 base score of 7.2 indicates a high impact, with network attack vector (AV:N), low attack complexity (AC:L), but requiring high privileges (PR:H) and no user interaction (UI:N). The scope is unchanged (S:U), and the impact on confidentiality, integrity, and availability is high (C:H/I:H/A:H). Although no known exploits are currently reported in the wild, the vulnerability presents a significant risk due to the potential for attackers with elevated privileges to execute arbitrary code or disrupt services. The lack of available patches at the time of publication further increases the urgency for mitigation. The vulnerability is particularly critical in environments where the affected software is used to manage freight quotes and logistics, as compromise could lead to data breaches, operational disruption, or unauthorized manipulation of freight data.

For European organizations, especially those involved in logistics, supply chain management, and freight operations, this vulnerability poses a substantial risk. The affected software, LTL Freight Quotes - TQL Edition, is likely integrated into freight quoting and transportation management workflows. Exploitation could lead to unauthorized access to sensitive business data, manipulation of freight quotes, disruption of logistics operations, and potential financial losses. Given the high confidentiality, integrity, and availability impact, organizations could face operational downtime, reputational damage, and regulatory compliance issues under GDPR if personal or sensitive data is exposed. The requirement for high privileges to exploit the vulnerability suggests that insider threats or compromised administrative accounts could be leveraged by attackers. The lack of user interaction needed means automated exploitation is feasible once access is obtained. European companies relying on this software must consider the risk of targeted attacks, especially in the context of increasing cyber threats against critical infrastructure and supply chains in the region.

1. Immediate mitigation should focus on restricting access to the affected application to trusted and authenticated users only, minimizing the risk of privilege escalation. 2. Implement strict network segmentation and firewall rules to limit exposure of the LTL Freight Quotes application to internal networks and trusted IP ranges. 3. Monitor and audit administrative and privileged user activities closely to detect any anomalous behavior that could indicate exploitation attempts. 4. Employ application-layer input validation and sanitization where possible to detect and block malformed serialized objects. 5. Engage with the vendor (enituretechnology) for timely patch releases or workarounds; if patches are unavailable, consider temporary disabling or isolating the vulnerable component. 6. Use runtime application self-protection (RASP) or web application firewalls (WAF) with custom rules to detect and block suspicious deserialization payloads. 7. Conduct regular security assessments and penetration testing focusing on deserialization vectors to identify and remediate weaknesses proactively. 8. Educate privileged users on the risks and signs of exploitation to enhance internal security posture.