CVE-2026-33707: CWE-640: Weak Password Recovery Mechanism for Forgotten Password in chamilo chamilo-lms
Chamilo LMS versions prior to 1. 11. 38 and between 2. 0. 0-alpha. 1 and before 2. 0. 0-RC. 3 use a weak password reset mechanism that generates reset tokens as sha1 hashes of the user's email without randomness, expiration, or rate limiting. This allows an attacker who knows a user's email to compute the reset token and reset the password without authentication.
AI Analysis
Technical Summary
The vulnerability in Chamilo LMS involves the password recovery mechanism generating reset tokens deterministically as sha1($email) with no random component, no expiration, and no rate limiting. This design flaw enables an attacker with knowledge of a user's email address to calculate the reset token and change the victim's password without any authentication. The affected versions are all releases prior to 1.11.38 and from 2.0.0-alpha.1 up to but not including 2.0.0-RC.3. The issue is classified under CWE-640 (Weak Password Recovery Mechanism). The vulnerability has a CVSS 3.1 score of 9.4, indicating critical severity. The fix was introduced in versions 1.11.38 and 2.0.0-RC.3.
Potential Impact
An attacker who knows a user's email address can generate the password reset token and reset the user's password without authentication, leading to full account compromise. This impacts confidentiality and integrity of user accounts with low impact on availability.
Mitigation Recommendations
Upgrade Chamilo LMS to version 1.11.38 or later, or to 2.0.0-RC.3 or later, where the password reset mechanism has been fixed to use secure token generation with randomness, expiration, and rate limiting. Patch status is not explicitly stated but the fix is included in these versions, so upgrading to these versions or later is the recommended remediation.
CVE-2026-33707: CWE-640: Weak Password Recovery Mechanism for Forgotten Password in chamilo chamilo-lms
Description
Chamilo LMS versions prior to 1. 11. 38 and between 2. 0. 0-alpha. 1 and before 2. 0. 0-RC. 3 use a weak password reset mechanism that generates reset tokens as sha1 hashes of the user's email without randomness, expiration, or rate limiting. This allows an attacker who knows a user's email to compute the reset token and reset the password without authentication.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
The vulnerability in Chamilo LMS involves the password recovery mechanism generating reset tokens deterministically as sha1($email) with no random component, no expiration, and no rate limiting. This design flaw enables an attacker with knowledge of a user's email address to calculate the reset token and change the victim's password without any authentication. The affected versions are all releases prior to 1.11.38 and from 2.0.0-alpha.1 up to but not including 2.0.0-RC.3. The issue is classified under CWE-640 (Weak Password Recovery Mechanism). The vulnerability has a CVSS 3.1 score of 9.4, indicating critical severity. The fix was introduced in versions 1.11.38 and 2.0.0-RC.3.
Potential Impact
An attacker who knows a user's email address can generate the password reset token and reset the user's password without authentication, leading to full account compromise. This impacts confidentiality and integrity of user accounts with low impact on availability.
Mitigation Recommendations
Upgrade Chamilo LMS to version 1.11.38 or later, or to 2.0.0-RC.3 or later, where the password reset mechanism has been fixed to use secure token generation with randomness, expiration, and rate limiting. Patch status is not explicitly stated but the fix is included in these versions, so upgrading to these versions or later is the recommended remediation.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- GitHub_M
- Date Reserved
- 2026-03-23T17:06:05.747Z
- Cvss Version
- 3.1
- State
- PUBLISHED
- Remediation Level
- null
Threat ID: 69d94d8f1cc7ad14dae0fae7
Added to database: 4/10/2026, 7:20:47 PM
Last enriched: 4/10/2026, 7:35:48 PM
Last updated: 4/10/2026, 9:32:57 PM
Views: 4
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