CVE-2026-4994: Information Exposure Through Error Message in wandb OpenUI
CVE-2026-4994 is a medium-severity vulnerability in wandb OpenUI versions up to 1. 0 and 3. 5-turb. It arises from improper handling of the argument 'key' in the generic_exception_handler function, causing information exposure through error messages. Exploitation requires access to the local network and low privileges, with no user interaction needed. Although the vendor was notified, no patch or response has been provided. The vulnerability has a CVSS 4. 0 score of 5. 1, indicating moderate risk. While no known exploits are currently in the wild, the public availability of exploit details increases potential risk.
AI Analysis
Technical Summary
CVE-2026-4994 is an information exposure vulnerability affecting wandb OpenUI versions up to 1.0 and 3.5-turb. The flaw exists in the generic_exception_handler function within the backend/openui/server.py file, specifically in the APIStatusError Handler component. When the 'key' argument is manipulated, the function improperly reveals sensitive information through error messages returned by the server. This leakage could include internal system details or configuration data that attackers can leverage for further exploitation or reconnaissance. The attack vector requires the attacker to have access to the local network, implying that remote exploitation over the internet is not feasible without prior network access. The vulnerability does not require user interaction and can be exploited with low privileges, increasing the risk within trusted network environments. The vendor was informed early but has not issued any patches or advisories, leaving users exposed. The CVSS 4.0 score of 5.1 reflects a medium severity, with the main impact being confidentiality loss due to information disclosure. No known exploits are currently active in the wild, but the public disclosure of exploit details raises the likelihood of future attacks. This vulnerability primarily affects organizations using wandb OpenUI for machine learning experiment tracking and visualization, potentially exposing internal data that could facilitate lateral movement or privilege escalation in targeted attacks.
Potential Impact
The primary impact of CVE-2026-4994 is the unintended disclosure of sensitive information through error messages in wandb OpenUI. This information exposure can aid attackers in mapping internal network configurations, identifying software versions, or uncovering other details that facilitate further exploitation. Since exploitation requires local network access, the threat is significant in environments where internal network segmentation is weak or where untrusted users have network access. Organizations relying on wandb OpenUI for AI/ML workflows may inadvertently leak data that could compromise confidentiality and assist in lateral movement or targeted attacks. Although the vulnerability does not directly allow code execution or denial of service, the information gained can be a stepping stone for more severe attacks. The lack of vendor response and patches increases the window of exposure, raising risk for organizations that have not implemented compensating controls. Overall, the vulnerability poses a moderate risk to confidentiality and operational security within affected environments.
Mitigation Recommendations
To mitigate CVE-2026-4994, organizations should first restrict access to wandb OpenUI instances to trusted and authenticated users within secure network segments, minimizing exposure to untrusted local network actors. Implement strict network segmentation and access controls to limit who can reach the affected service. Monitor and audit error messages generated by wandb OpenUI to detect unusual or excessive information disclosure. Employ web application firewalls (WAFs) or intrusion detection systems (IDS) to identify and block suspicious requests attempting to manipulate the 'key' argument. Since no official patches are available, consider deploying custom error handling or sanitization layers to suppress detailed error outputs until vendor fixes are released. Regularly check for vendor updates or community patches and apply them promptly once available. Additionally, educate internal users about the risks of exposing internal services and enforce least privilege principles for network access. Finally, maintain comprehensive logging and monitoring to detect potential exploitation attempts early.
Affected Countries
United States, Canada, United Kingdom, Germany, France, Netherlands, India, Japan, South Korea, Australia
CVE-2026-4994: Information Exposure Through Error Message in wandb OpenUI
Description
CVE-2026-4994 is a medium-severity vulnerability in wandb OpenUI versions up to 1. 0 and 3. 5-turb. It arises from improper handling of the argument 'key' in the generic_exception_handler function, causing information exposure through error messages. Exploitation requires access to the local network and low privileges, with no user interaction needed. Although the vendor was notified, no patch or response has been provided. The vulnerability has a CVSS 4. 0 score of 5. 1, indicating moderate risk. While no known exploits are currently in the wild, the public availability of exploit details increases potential risk.
AI-Powered Analysis
Machine-generated threat intelligence
Technical Analysis
CVE-2026-4994 is an information exposure vulnerability affecting wandb OpenUI versions up to 1.0 and 3.5-turb. The flaw exists in the generic_exception_handler function within the backend/openui/server.py file, specifically in the APIStatusError Handler component. When the 'key' argument is manipulated, the function improperly reveals sensitive information through error messages returned by the server. This leakage could include internal system details or configuration data that attackers can leverage for further exploitation or reconnaissance. The attack vector requires the attacker to have access to the local network, implying that remote exploitation over the internet is not feasible without prior network access. The vulnerability does not require user interaction and can be exploited with low privileges, increasing the risk within trusted network environments. The vendor was informed early but has not issued any patches or advisories, leaving users exposed. The CVSS 4.0 score of 5.1 reflects a medium severity, with the main impact being confidentiality loss due to information disclosure. No known exploits are currently active in the wild, but the public disclosure of exploit details raises the likelihood of future attacks. This vulnerability primarily affects organizations using wandb OpenUI for machine learning experiment tracking and visualization, potentially exposing internal data that could facilitate lateral movement or privilege escalation in targeted attacks.
Potential Impact
The primary impact of CVE-2026-4994 is the unintended disclosure of sensitive information through error messages in wandb OpenUI. This information exposure can aid attackers in mapping internal network configurations, identifying software versions, or uncovering other details that facilitate further exploitation. Since exploitation requires local network access, the threat is significant in environments where internal network segmentation is weak or where untrusted users have network access. Organizations relying on wandb OpenUI for AI/ML workflows may inadvertently leak data that could compromise confidentiality and assist in lateral movement or targeted attacks. Although the vulnerability does not directly allow code execution or denial of service, the information gained can be a stepping stone for more severe attacks. The lack of vendor response and patches increases the window of exposure, raising risk for organizations that have not implemented compensating controls. Overall, the vulnerability poses a moderate risk to confidentiality and operational security within affected environments.
Mitigation Recommendations
To mitigate CVE-2026-4994, organizations should first restrict access to wandb OpenUI instances to trusted and authenticated users within secure network segments, minimizing exposure to untrusted local network actors. Implement strict network segmentation and access controls to limit who can reach the affected service. Monitor and audit error messages generated by wandb OpenUI to detect unusual or excessive information disclosure. Employ web application firewalls (WAFs) or intrusion detection systems (IDS) to identify and block suspicious requests attempting to manipulate the 'key' argument. Since no official patches are available, consider deploying custom error handling or sanitization layers to suppress detailed error outputs until vendor fixes are released. Regularly check for vendor updates or community patches and apply them promptly once available. Additionally, educate internal users about the risks of exposing internal services and enforce least privilege principles for network access. Finally, maintain comprehensive logging and monitoring to detect potential exploitation attempts early.
Technical Details
- Data Version
- 5.2
- Assigner Short Name
- VulDB
- Date Reserved
- 2026-03-27T13:48:00.731Z
- Cvss Version
- 4.0
- State
- PUBLISHED
Threat ID: 69c83c4f919ccadcdf051abf
Added to database: 3/28/2026, 8:38:39 PM
Last enriched: 3/28/2026, 8:39:10 PM
Last updated: 3/28/2026, 11:46:10 PM
Views: 7
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