CVE-2025-6216
CVE-2025-6216
Weakness (CWE)
CVSS Vector
v3.0- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
Allegra calculateTokenExpDate Password Recovery Authentication Bypass Vulnerability. This vulnerability allows remote attackers to bypass authentication on affected installations of Allegra. Authentication is not required to exploit this vulnerability. The specific flaw exists within the password recovery mechanism. The issue results from reliance upon a predictable value when generating a password reset token. An attacker can leverage this vulnerability to bypass authentication on the application. Was ZDI-CAN-27104.
Comprehensive Technical Analysis of CVE-2025-6216
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-6216 CISA Vulnerability Name: CVE-2025-6216 CVSS Score: 9.8
The vulnerability in question, CVE-2025-6216, is an authentication bypass vulnerability in the Allegra software. The specific flaw resides in the password recovery mechanism, which relies on a predictable value when generating a password reset token. This predictability allows remote attackers to bypass authentication without needing any credentials.
Severity Evaluation:
- CVSS Score: 9.8 (Critical)
- Impact: The vulnerability can lead to unauthorized access to user accounts, potentially resulting in data breaches, unauthorized actions, and further compromise of the system.
- Exploitability: The vulnerability is easily exploitable due to the predictable nature of the token generation process.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Remote Exploitation: Attackers can exploit this vulnerability over the network without needing physical access to the system.
- Password Reset Mechanism: The primary attack vector is through the password recovery feature, where the predictable token can be guessed or calculated.
Exploitation Methods:
- Token Prediction: Attackers can predict the token value used for password resets due to its predictable nature.
- Brute Force: Attackers may use brute force techniques to guess the token if the predictable pattern is not immediately obvious.
- Automated Scripts: Attackers can write automated scripts to generate and test potential tokens, increasing the efficiency of the attack.
3. Affected Systems and Software Versions
Affected Systems:
- Allegra software installations that include the vulnerable password recovery mechanism.
Software Versions:
- Specific versions affected are not listed in the provided information, but it is implied that versions prior to the patch release (8.1.4 and 7.5.2) are vulnerable.
4. Recommended Mitigation Strategies
-
Patch Management:
- Apply the latest patches and updates provided by the vendor. The release notes for versions 8.1.4 and 7.5.2 should be reviewed for specific fixes.
-
Token Generation Improvement:
- Implement a more secure token generation mechanism that uses cryptographically secure random values.
-
Monitoring and Logging:
- Enhance monitoring and logging of password recovery attempts to detect and respond to suspicious activities.
-
Rate Limiting:
- Implement rate limiting on password recovery attempts to mitigate brute force attacks.
-
User Education:
- Educate users about the importance of strong passwords and the risks associated with password recovery mechanisms.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Organizations using Allegra software are at high risk of unauthorized access and data breaches.
- The critical CVSS score of 9.8 indicates a severe threat that requires immediate attention.
Long-Term Impact:
- This vulnerability highlights the importance of secure token generation in authentication mechanisms.
- It underscores the need for continuous monitoring and timely patching of software.
- The incident may lead to increased scrutiny of password recovery mechanisms in other software products.
6. Technical Details for Security Professionals
Vulnerability Details:
- The flaw exists in the
calculateTokenExpDatefunction, which generates a predictable token for password recovery. - The predictability of the token allows attackers to bypass authentication by guessing or calculating the token value.
Detection Methods:
- Log Analysis: Review logs for unusual patterns in password recovery attempts.
- Intrusion Detection Systems (IDS): Configure IDS to detect and alert on multiple failed password recovery attempts.
Mitigation Steps:
- Update Software: Ensure all Allegra installations are updated to the latest patched versions (8.1.4 or 7.5.2).
- Secure Token Generation: Replace the predictable token generation mechanism with a secure, randomized process.
- Implement Multi-Factor Authentication (MFA): Add an additional layer of security to the password recovery process.
References:
By addressing this vulnerability promptly and comprehensively, organizations can significantly reduce the risk of unauthorized access and potential data breaches.