CVE-2021-38617: n/a in n/a
In Eigen NLP 3.10.1, a lack of access control on the /auth/v1/user/ user creation endpoint allows a standard user to create a super user account with a defined password. This directly leads to privilege escalation.
AI Analysis
Technical Summary
CVE-2021-38617 is a critical security vulnerability identified in Eigen NLP version 3.10.1. The core issue stems from a lack of access control on the user creation endpoint located at /auth/v1/user/. This endpoint, intended for user creation, does not properly restrict access, allowing any authenticated standard user to create a new super user account by specifying a password. This vulnerability directly enables privilege escalation, as a low-privileged user can elevate their privileges to administrative or super user level without authorization. The vulnerability has a CVSS v3.1 score of 8.8, indicating a high severity level. The vector string (CVSS:3.1/AC:L/AV:N/A:H/C:H/I:H/PR:L/S:U/UI:N) reveals that the attack requires low privileges (PR:L), no user interaction (UI:N), local network access (AV:N), and has high impact on confidentiality, integrity, and availability. Exploiting this flaw allows an attacker to gain full control over the affected system, potentially leading to unauthorized data access, system manipulation, and disruption of services. No public patches or vendor information are provided, and no known exploits in the wild have been reported as of the publication date. The vulnerability affects Eigen NLP, a natural language processing software, which may be integrated into various applications or services that rely on NLP capabilities.
Potential Impact
For European organizations utilizing Eigen NLP 3.10.1, this vulnerability poses a significant risk. The ability for a standard user to escalate privileges to super user level can lead to complete compromise of the NLP system and any connected infrastructure. This could result in unauthorized access to sensitive data processed or stored by the system, manipulation or deletion of critical data, and disruption of NLP-dependent services. Organizations in sectors such as finance, healthcare, government, and telecommunications—where NLP tools may be used for data analysis, customer interaction, or automated decision-making—are particularly vulnerable. The breach of confidentiality and integrity could lead to regulatory non-compliance under GDPR, resulting in legal and financial penalties. Moreover, the availability impact could disrupt business operations relying on NLP functionalities. Since the vulnerability requires only low privileges and no user interaction, insider threats or compromised standard accounts could easily exploit this flaw, increasing the risk profile for European enterprises.
Mitigation Recommendations
To mitigate CVE-2021-38617, European organizations should immediately audit their deployments of Eigen NLP 3.10.1 or any related versions to identify if the vulnerable endpoint /auth/v1/user/ is exposed and accessible. Restrict access to this endpoint by implementing strict access control mechanisms, such as role-based access control (RBAC), ensuring only authorized administrators can create super user accounts. If possible, disable or restrict the user creation endpoint until a vendor patch or update is available. Monitor logs for unusual user creation activities, especially the creation of accounts with elevated privileges. Employ network segmentation and firewall rules to limit access to the NLP service endpoints to trusted users and systems only. Additionally, enforce strong authentication and credential management policies to reduce the risk of compromised standard user accounts. If vendor patches or updates become available, prioritize their deployment. Finally, conduct regular security assessments and penetration testing focused on privilege escalation vectors within NLP and related systems.
Affected Countries
Germany, France, United Kingdom, Netherlands, Sweden, Italy, Spain
CVE-2021-38617: n/a in n/a
Description
In Eigen NLP 3.10.1, a lack of access control on the /auth/v1/user/ user creation endpoint allows a standard user to create a super user account with a defined password. This directly leads to privilege escalation.
AI-Powered Analysis
Technical Analysis
CVE-2021-38617 is a critical security vulnerability identified in Eigen NLP version 3.10.1. The core issue stems from a lack of access control on the user creation endpoint located at /auth/v1/user/. This endpoint, intended for user creation, does not properly restrict access, allowing any authenticated standard user to create a new super user account by specifying a password. This vulnerability directly enables privilege escalation, as a low-privileged user can elevate their privileges to administrative or super user level without authorization. The vulnerability has a CVSS v3.1 score of 8.8, indicating a high severity level. The vector string (CVSS:3.1/AC:L/AV:N/A:H/C:H/I:H/PR:L/S:U/UI:N) reveals that the attack requires low privileges (PR:L), no user interaction (UI:N), local network access (AV:N), and has high impact on confidentiality, integrity, and availability. Exploiting this flaw allows an attacker to gain full control over the affected system, potentially leading to unauthorized data access, system manipulation, and disruption of services. No public patches or vendor information are provided, and no known exploits in the wild have been reported as of the publication date. The vulnerability affects Eigen NLP, a natural language processing software, which may be integrated into various applications or services that rely on NLP capabilities.
Potential Impact
For European organizations utilizing Eigen NLP 3.10.1, this vulnerability poses a significant risk. The ability for a standard user to escalate privileges to super user level can lead to complete compromise of the NLP system and any connected infrastructure. This could result in unauthorized access to sensitive data processed or stored by the system, manipulation or deletion of critical data, and disruption of NLP-dependent services. Organizations in sectors such as finance, healthcare, government, and telecommunications—where NLP tools may be used for data analysis, customer interaction, or automated decision-making—are particularly vulnerable. The breach of confidentiality and integrity could lead to regulatory non-compliance under GDPR, resulting in legal and financial penalties. Moreover, the availability impact could disrupt business operations relying on NLP functionalities. Since the vulnerability requires only low privileges and no user interaction, insider threats or compromised standard accounts could easily exploit this flaw, increasing the risk profile for European enterprises.
Mitigation Recommendations
To mitigate CVE-2021-38617, European organizations should immediately audit their deployments of Eigen NLP 3.10.1 or any related versions to identify if the vulnerable endpoint /auth/v1/user/ is exposed and accessible. Restrict access to this endpoint by implementing strict access control mechanisms, such as role-based access control (RBAC), ensuring only authorized administrators can create super user accounts. If possible, disable or restrict the user creation endpoint until a vendor patch or update is available. Monitor logs for unusual user creation activities, especially the creation of accounts with elevated privileges. Employ network segmentation and firewall rules to limit access to the NLP service endpoints to trusted users and systems only. Additionally, enforce strong authentication and credential management policies to reduce the risk of compromised standard user accounts. If vendor patches or updates become available, prioritize their deployment. Finally, conduct regular security assessments and penetration testing focused on privilege escalation vectors within NLP and related systems.
Affected Countries
Technical Details
- Data Version
- 5.1
- Assigner Short Name
- mitre
- Date Reserved
- 2021-08-13T00:00:00.000Z
- Cvss Version
- 3.1
- State
- PUBLISHED
Threat ID: 6839d93e182aa0cae2b72fd3
Added to database: 5/30/2025, 4:13:50 PM
Last enriched: 7/8/2025, 3:31:02 PM
Last updated: 2/7/2026, 7:29:43 AM
Views: 41
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