CVE-2026-4993: Hard-coded Credentials in wandb OpenUI
CVE-2026-4993 is a medium-severity vulnerability in wandb OpenUI versions up to 1. 0 involving hard-coded credentials due to manipulation of the LITELLM_MASTER_KEY argument in backend/openui/config. py. Exploitation requires local access with low privileges and no user interaction. The vulnerability impacts confidentiality slightly but does not affect integrity or availability. The vendor has not responded to the disclosure, and no patches are currently available. Although no known exploits are in the wild, the public disclosure increases risk. Organizations using wandb OpenUI locally should be cautious and implement compensating controls. This vulnerability primarily affects environments where wandb OpenUI is deployed, which may be more common in countries with significant AI/ML development. Mitigation includes restricting local access, monitoring for suspicious activity, and isolating vulnerable instances until a patch is available.
AI Analysis
Technical Summary
CVE-2026-4993 is a vulnerability identified in the wandb OpenUI product, specifically affecting versions from 0.0.0 up to 1.0. The issue arises from hard-coded credentials related to the LITELLM_MASTER_KEY argument within the backend/openui/config.py file. This flaw allows an attacker with local access and low privileges to potentially leverage these hard-coded credentials to gain unauthorized access or escalate privileges within the local environment. The vulnerability does not require user interaction and has a low complexity of attack, but it is limited to local exploitation, meaning remote attackers cannot exploit it directly. The CVSS 4.0 vector indicates a medium severity with a score of 4.8, reflecting limited confidentiality impact and no effect on integrity or availability. The vendor was notified early but has not responded or issued a patch, and no known exploits have been observed in the wild yet. The vulnerability's presence in a development tool like wandb OpenUI, which is used for machine learning experiment tracking and visualization, could expose sensitive configuration or operational data if exploited locally. Given the lack of patch and public disclosure, the risk of exploitation may increase over time, especially in environments where local access controls are weak or where multiple users share the same system.
Potential Impact
The primary impact of CVE-2026-4993 is a potential confidentiality breach due to exposure of hard-coded credentials, which could allow an attacker with local access to gain unauthorized access to sensitive components or data within the wandb OpenUI environment. While the vulnerability does not directly affect data integrity or system availability, unauthorized access could lead to further lateral movement or privilege escalation within the local system. Organizations relying on wandb OpenUI for machine learning workflows could face risks of data leakage or unauthorized configuration changes if attackers exploit this vulnerability. The impact is somewhat limited by the requirement for local access and low privileges, reducing the likelihood of remote exploitation. However, in shared or multi-user environments, or where local access controls are insufficient, the risk is elevated. The absence of vendor response and patches increases the window of exposure, potentially affecting development and research environments globally.
Mitigation Recommendations
To mitigate CVE-2026-4993, organizations should immediately restrict local access to systems running wandb OpenUI, ensuring only trusted users have access. Implement strict file system permissions on the backend/openui/config.py file to prevent unauthorized reading or modification. Employ host-based intrusion detection systems (HIDS) to monitor for unusual local access patterns or attempts to manipulate the LITELLM_MASTER_KEY argument. Consider isolating wandb OpenUI instances in containerized or virtualized environments to limit the impact of potential exploitation. Regularly audit user accounts and privileges on affected systems to minimize the risk of unauthorized local access. Until an official patch is released, avoid deploying wandb OpenUI in production environments where sensitive data is processed or stored. Engage with the vendor or community for updates and consider contributing to or monitoring open-source forks or patches addressing this issue. Finally, educate local users about the risks of credential exposure and enforce strong local security policies.
Affected Countries
United States, Germany, United Kingdom, Canada, France, Japan, South Korea, China, India, Australia
CVE-2026-4993: Hard-coded Credentials in wandb OpenUI
Description
CVE-2026-4993 is a medium-severity vulnerability in wandb OpenUI versions up to 1. 0 involving hard-coded credentials due to manipulation of the LITELLM_MASTER_KEY argument in backend/openui/config. py. Exploitation requires local access with low privileges and no user interaction. The vulnerability impacts confidentiality slightly but does not affect integrity or availability. The vendor has not responded to the disclosure, and no patches are currently available. Although no known exploits are in the wild, the public disclosure increases risk. Organizations using wandb OpenUI locally should be cautious and implement compensating controls. This vulnerability primarily affects environments where wandb OpenUI is deployed, which may be more common in countries with significant AI/ML development. Mitigation includes restricting local access, monitoring for suspicious activity, and isolating vulnerable instances until a patch is available.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-4993 is a vulnerability identified in the wandb OpenUI product, specifically affecting versions from 0.0.0 up to 1.0. The issue arises from hard-coded credentials related to the LITELLM_MASTER_KEY argument within the backend/openui/config.py file. This flaw allows an attacker with local access and low privileges to potentially leverage these hard-coded credentials to gain unauthorized access or escalate privileges within the local environment. The vulnerability does not require user interaction and has a low complexity of attack, but it is limited to local exploitation, meaning remote attackers cannot exploit it directly. The CVSS 4.0 vector indicates a medium severity with a score of 4.8, reflecting limited confidentiality impact and no effect on integrity or availability. The vendor was notified early but has not responded or issued a patch, and no known exploits have been observed in the wild yet. The vulnerability's presence in a development tool like wandb OpenUI, which is used for machine learning experiment tracking and visualization, could expose sensitive configuration or operational data if exploited locally. Given the lack of patch and public disclosure, the risk of exploitation may increase over time, especially in environments where local access controls are weak or where multiple users share the same system.
Potential Impact
The primary impact of CVE-2026-4993 is a potential confidentiality breach due to exposure of hard-coded credentials, which could allow an attacker with local access to gain unauthorized access to sensitive components or data within the wandb OpenUI environment. While the vulnerability does not directly affect data integrity or system availability, unauthorized access could lead to further lateral movement or privilege escalation within the local system. Organizations relying on wandb OpenUI for machine learning workflows could face risks of data leakage or unauthorized configuration changes if attackers exploit this vulnerability. The impact is somewhat limited by the requirement for local access and low privileges, reducing the likelihood of remote exploitation. However, in shared or multi-user environments, or where local access controls are insufficient, the risk is elevated. The absence of vendor response and patches increases the window of exposure, potentially affecting development and research environments globally.
Mitigation Recommendations
To mitigate CVE-2026-4993, organizations should immediately restrict local access to systems running wandb OpenUI, ensuring only trusted users have access. Implement strict file system permissions on the backend/openui/config.py file to prevent unauthorized reading or modification. Employ host-based intrusion detection systems (HIDS) to monitor for unusual local access patterns or attempts to manipulate the LITELLM_MASTER_KEY argument. Consider isolating wandb OpenUI instances in containerized or virtualized environments to limit the impact of potential exploitation. Regularly audit user accounts and privileges on affected systems to minimize the risk of unauthorized local access. Until an official patch is released, avoid deploying wandb OpenUI in production environments where sensitive data is processed or stored. Engage with the vendor or community for updates and consider contributing to or monitoring open-source forks or patches addressing this issue. Finally, educate local users about the risks of credential exposure and enforce strong local security policies.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-03-27T13:47:57.347Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69c83c4f919ccadcdf051ab9
Added to database: 3/28/2026, 8:38:39 PM
Last enriched: 3/28/2026, 8:38:59 PM
Last updated: 3/28/2026, 11:46:10 PM
Views: 6
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