CVE-2025-63807
CVE-2025-63807
Weakness (CWE)
CVSS Vector
v3.1- Attack Vector
- Network
- Attack Complexity
- Low
- Privileges Required
- None
- User Interaction
- None
- Scope
- Unchanged
- Confidentiality
- High
- Integrity
- High
- Availability
- High
Description
An issue was discovered in weijiang1994 university-bbs (aka Blogin) in commit 9e06bab430bfc729f27b4284ba7570db3b11ce84 (2025-01-13). A weak verification code generation mechanism combined with missing rate limiting allows attackers to perform brute-force attacks on verification codes without authentication. Successful exploitation may result in account takeover via password reset or other authentication bypass methods.
Comprehensive Technical Analysis of CVE-2025-63807
1. Vulnerability Assessment and Severity Evaluation
CVE ID: CVE-2025-63807 CVSS Score: 9.8
The vulnerability in question pertains to the university-bbs (Blogin) software, specifically in commit 9e06bab430bfc729f27b4284ba7570db3b11ce84 dated 2025-01-13. The issue arises from a weak verification code generation mechanism combined with the absence of rate limiting. This combination allows attackers to perform brute-force attacks on verification codes without requiring authentication.
Severity Evaluation:
- CVSS Score: 9.8 (Critical)
- Impact: Successful exploitation can lead to account takeover via password reset or other authentication bypass methods.
- Exploitability: High, due to the lack of rate limiting and weak verification code generation.
2. Potential Attack Vectors and Exploitation Methods
Attack Vectors:
- Brute-Force Attack: Attackers can systematically try different verification codes until they find a valid one.
- Automated Scripts: Use of automated scripts to generate and test verification codes at a high rate.
- Phishing: Combining brute-force attacks with phishing to trick users into revealing additional information.
Exploitation Methods:
- Password Reset: Attackers can exploit the weak verification code to reset user passwords.
- Authentication Bypass: Bypassing authentication mechanisms by guessing the verification code.
- Account Takeover: Gaining unauthorized access to user accounts, leading to data breaches and potential financial loss.
3. Affected Systems and Software Versions
Affected Software:
- university-bbs (Blogin)
- Commit:
9e06bab430bfc729f27b4284ba7570db3b11ce84 - Date: 2025-01-13
Affected Systems:
- Any system running the vulnerable version of university-bbs (Blogin) software.
- Systems that have not implemented additional security measures to mitigate the vulnerability.
4. Recommended Mitigation Strategies
- Rate Limiting: Implement rate limiting on verification code attempts to prevent brute-force attacks.
- Strong Verification Codes: Enhance the verification code generation mechanism to produce stronger, more complex codes.
- Multi-Factor Authentication (MFA): Implement MFA to add an additional layer of security.
- Monitoring and Alerts: Set up monitoring and alerting systems to detect and respond to suspicious activities.
- Patch Management: Ensure that the software is updated to the latest version that addresses this vulnerability.
5. Impact on Cybersecurity Landscape
Immediate Impact:
- Account Takeover: Increased risk of account takeovers, leading to data breaches and potential financial loss.
- Reputation Damage: Organizations using the affected software may face reputational damage due to security breaches.
Long-Term Impact:
- Increased Awareness: Greater emphasis on implementing robust security measures such as rate limiting and strong verification codes.
- Enhanced Security Practices: Encouragement of best practices in software development and security testing.
6. Technical Details for Security Professionals
Verification Code Generation:
- Weakness: The current mechanism generates predictable or easily guessable verification codes.
- Improvement: Use a cryptographically secure random number generator to produce unpredictable codes.
Rate Limiting Implementation:
- Mechanism: Implement a rate-limiting mechanism that restricts the number of verification code attempts per IP address or user account within a specific time frame.
- Example: Allow a maximum of 5 attempts per hour per IP address.
Monitoring and Detection:
- Logging: Ensure that all verification code attempts are logged with relevant details such as timestamp, IP address, and user account.
- Anomaly Detection: Use anomaly detection algorithms to identify and respond to unusual patterns of verification code attempts.
Patching and Updates:
- Patch Availability: Ensure that the software vendor provides a patch or update that addresses the vulnerability.
- Deployment: Deploy the patch or update in a timely manner to mitigate the risk.
Conclusion: CVE-2025-63807 represents a critical vulnerability that can be exploited to perform brute-force attacks on verification codes, leading to account takeovers. Immediate mitigation strategies include implementing rate limiting, enhancing verification code generation, and deploying multi-factor authentication. Long-term, this vulnerability underscores the importance of robust security practices in software development and maintenance.
References:
- GitHub Gist
- Source: cve@mitre.org