CVE-2025-1101 is classified as a medium severity vulnerability with a CVSS score of 5.3. This vulnerability allows an unauthenticated remote attacker to enumerate valid usernames through crafted HTTP requests targeting the login page of Q-Free MaxTime, specifically versions less than or equal to 2.11.0. The observed issue falls under the CWE-204 category, which is recognized as an "Observable Response Discrepancy." This vulnerability is significant as it exposes organizations to potential unauthorized access and account enumeration.
Organizations should prioritize patching immediately to mitigate the associated risks. The exploitation status indicates no public exploit is confirmed; however, the ability to enumerate usernames poses a clear risk to the integrity of user accounts. The vulnerability's publication on February 12, 2025, highlights the importance of timely remediation to protect against potential attacks.
The risk to organizations includes the possibility of unauthorized access to user accounts, which could lead to further exploitation if valid usernames are harvested. Given the nature of the vulnerability, it is essential for security teams to monitor for suspicious activities and ensure that protective measures are in place to prevent exploitation.
As organizations assess the impact of this vulnerability, it is critical to evaluate their exposure and implement necessary security measures. Continuous monitoring and prompt remediation actions are key to maintaining a robust security posture.
Vulnerability Details
The official description of CVE-2025-1101 states that it allows an unauthenticated remote attacker to enumerate valid usernames via crafted HTTP requests. The vulnerability affects Q-Free MaxTime versions less than or equal to 2.11.0. The assigned CVSS score of 5.3 indicates a medium severity level, with a low attack complexity and no privileges required for successful exploitation.
The vulnerability was published on February 12, 2025, and has been classified under the CWE-204 category. Organizations using impacted versions of Q-Free MaxTime are encouraged to apply patches as soon as possible.
Technical Analysis
The root cause of this vulnerability lies in the observable response discrepancies during the login process, which can be exploited by attackers to gather valid usernames. The attack vector is network-based, requiring low complexity to execute. Importantly, no user interaction is required, and no privileges are necessary for the attack.
The impact on confidentiality is categorized as low, while integrity and availability impacts are none. This indicates that although user data may be exposed, it does not compromise the integrity of the system or its availability.
Risk & Impact Analysis
The real-world deployment risk of CVE-2025-1101 is significant, primarily affecting organizations utilizing Q-Free MaxTime. The ability for an attacker to enumerate valid usernames can lead to more severe attacks, including unauthorized access and data breaches.
Given that the vulnerability is classified as medium severity, organizations should address it in their priority patch cycle. The potential blast radius is concerning, as it could lead to further exploitation if username enumeration is successful.
The urgency for remediation is underscored by the CVSS score of 5.3, combined with the fact that the vulnerability is not currently included in the KEV catalog. Organizations should assess their exposure and act swiftly to mitigate risks.
Signal | Status |
|---|---|
Known Exploit | No |
Public PoC | No |
Actively Exploited | No |
Ransomware Use | No |
Affected Versions
The vulnerability affects all versions of Q-Free MaxTime prior to version 2.11.0. Organizations using these versions are advised to apply the necessary patches to mitigate the risks associated with this vulnerability.
Mitigation & Remediation
Organizations should prioritize patching immediately. It is essential to upgrade to the latest version of Q-Free MaxTime that addresses this vulnerability. In addition to applying patches, organizations should consider implementing security measures such as configuration hardening and network controls to further protect against potential exploitation.
Monitoring user access patterns and unusual login attempts can help identify potential exploitation attempts. Organizations can validate the effectiveness of their remediation strategies through penetration testing to ensure that similar vulnerabilities are not present.
Detection Guidance
Organizations should monitor for unusual login patterns and any instances of username enumeration. Log indicators such as failed login attempts and account lockouts can provide insights into potential exploitation attempts. Behavioral anomalies in user access may also indicate underlying vulnerabilities that require attention.
AppSecure Threat Intelligence Insight
CVE-2025-1101 highlights a critical aspect of application security, where observable discrepancies can lead to severe vulnerabilities. This incident serves as a reminder for organizations to regularly assess their security posture and remain vigilant against potential exploitation techniques.
Security teams should focus on implementing robust monitoring and detection mechanisms to identify similar vulnerabilities early. Additionally, organizations should consider leveraging comprehensive security assessments, including application security assessments, to uncover latent vulnerabilities.
As this vulnerability has been identified and documented, organizations should also explore avenues for continuous learning and improvement in their security practices. This includes engaging in vulnerability management programs to ensure a proactive approach to security.
Disclaimer: This content was generated using AI. While we strive for accuracy, please verify critical information with official sources.
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