CVE-2024-50672: n/a
A NoSQL injection vulnerability in Adapt Learning Adapt Authoring Tool <= 0.11.3 allows unauthenticated attackers to reset user and administrator account passwords via the "Reset password" feature. The vulnerability occurs due to insufficient validation of user input, which is used as a query in Mongoose's find() function. This makes it possible for attackers to perform a full takeover of the administrator account. Attackers can then use the newly gained administrative privileges to upload a custom plugin to perform remote code execution (RCE) on the server hosting the web application.
AI Analysis
Technical Summary
CVE-2024-50672 is a critical security vulnerability affecting the Adapt Learning Adapt Authoring Tool, specifically versions up to 0.11.3. The root cause is a NoSQL injection flaw in the password reset functionality, where user-supplied input is insufficiently validated before being passed to Mongoose's find() query function. This improper sanitization allows attackers to craft malicious queries that bypass authentication controls and reset passwords for any user account, including administrators. Once an attacker gains administrative privileges, they can upload custom plugins to the application, which can be leveraged to execute arbitrary code remotely on the server hosting the web application. This chain of exploitation results in a complete compromise of the system's confidentiality, integrity, and availability. The vulnerability is categorized under CWE-89 (Improper Neutralization of Special Elements used in an Injection Command). Although no public exploits have been reported yet, the vulnerability's high CVSS score of 9.8 reflects its critical severity and ease of exploitation without authentication or user interaction. The lack of available patches at the time of disclosure increases the urgency for organizations to implement interim mitigations and monitor for suspicious activity.
Potential Impact
The impact of CVE-2024-50672 is severe for organizations using the Adapt Learning Adapt Authoring Tool. An attacker exploiting this vulnerability can gain full administrative control over the application, leading to unauthorized access to sensitive educational content and user data. The ability to execute remote code on the server can result in complete system takeover, data theft, destruction, or further lateral movement within the network. This can disrupt educational services, damage organizational reputation, and lead to compliance violations if personal data is exposed. Given the tool's use in e-learning environments, institutions such as universities, training providers, and corporate learning departments are at risk. The vulnerability's ease of exploitation without authentication means attackers can operate remotely and anonymously, increasing the threat landscape and potential for widespread abuse.
Mitigation Recommendations
Organizations should immediately audit their use of the Adapt Learning Adapt Authoring Tool and restrict access to the password reset functionality until a patch is available. Implement strict input validation and sanitization on all user inputs, especially those interacting with database queries. Employ Web Application Firewalls (WAFs) with rules designed to detect and block NoSQL injection patterns targeting Mongoose queries. Monitor logs for unusual password reset requests or administrative account changes. Limit plugin upload capabilities to trusted users only and consider disabling plugin uploads temporarily. Network segmentation and least privilege principles should be enforced to reduce the impact of a potential compromise. Stay informed on vendor updates and apply official patches as soon as they are released. Conduct penetration testing focusing on injection vulnerabilities to identify similar weaknesses in related applications.
Affected Countries
United States, United Kingdom, Canada, Australia, Germany, France, Netherlands, India, Japan, South Korea
CVE-2024-50672: n/a
Description
A NoSQL injection vulnerability in Adapt Learning Adapt Authoring Tool <= 0.11.3 allows unauthenticated attackers to reset user and administrator account passwords via the "Reset password" feature. The vulnerability occurs due to insufficient validation of user input, which is used as a query in Mongoose's find() function. This makes it possible for attackers to perform a full takeover of the administrator account. Attackers can then use the newly gained administrative privileges to upload a custom plugin to perform remote code execution (RCE) on the server hosting the web application.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2024-50672 is a critical security vulnerability affecting the Adapt Learning Adapt Authoring Tool, specifically versions up to 0.11.3. The root cause is a NoSQL injection flaw in the password reset functionality, where user-supplied input is insufficiently validated before being passed to Mongoose's find() query function. This improper sanitization allows attackers to craft malicious queries that bypass authentication controls and reset passwords for any user account, including administrators. Once an attacker gains administrative privileges, they can upload custom plugins to the application, which can be leveraged to execute arbitrary code remotely on the server hosting the web application. This chain of exploitation results in a complete compromise of the system's confidentiality, integrity, and availability. The vulnerability is categorized under CWE-89 (Improper Neutralization of Special Elements used in an Injection Command). Although no public exploits have been reported yet, the vulnerability's high CVSS score of 9.8 reflects its critical severity and ease of exploitation without authentication or user interaction. The lack of available patches at the time of disclosure increases the urgency for organizations to implement interim mitigations and monitor for suspicious activity.
Potential Impact
The impact of CVE-2024-50672 is severe for organizations using the Adapt Learning Adapt Authoring Tool. An attacker exploiting this vulnerability can gain full administrative control over the application, leading to unauthorized access to sensitive educational content and user data. The ability to execute remote code on the server can result in complete system takeover, data theft, destruction, or further lateral movement within the network. This can disrupt educational services, damage organizational reputation, and lead to compliance violations if personal data is exposed. Given the tool's use in e-learning environments, institutions such as universities, training providers, and corporate learning departments are at risk. The vulnerability's ease of exploitation without authentication means attackers can operate remotely and anonymously, increasing the threat landscape and potential for widespread abuse.
Mitigation Recommendations
Organizations should immediately audit their use of the Adapt Learning Adapt Authoring Tool and restrict access to the password reset functionality until a patch is available. Implement strict input validation and sanitization on all user inputs, especially those interacting with database queries. Employ Web Application Firewalls (WAFs) with rules designed to detect and block NoSQL injection patterns targeting Mongoose queries. Monitor logs for unusual password reset requests or administrative account changes. Limit plugin upload capabilities to trusted users only and consider disabling plugin uploads temporarily. Network segmentation and least privilege principles should be enforced to reduce the impact of a potential compromise. Stay informed on vendor updates and apply official patches as soon as they are released. Conduct penetration testing focusing on injection vulnerabilities to identify similar weaknesses in related applications.
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2024-10-28T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 699f6b9eb7ef31ef0b5573fe
Added to database: 2/25/2026, 9:37:34 PM
Last enriched: 2/27/2026, 10:41:48 PM
Last updated: 4/12/2026, 6:17:32 PM
Views: 16
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