CVE-2026-4993

March 28, 2026, 10:16 a.m.

1.9
Low

Description

A vulnerability has been found in wandb OpenUI up to 0.0.0.0/1.0. This impacts an unknown function of the file backend/openui/config.py. The manipulation of the argument LITELLM_MASTER_KEY leads to hard-coded credentials. An attack has to be approached locally. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.

Product(s) Impacted

Vendor Product Versions
Wandb
  • Openui
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-259
Use of Hard-coded Password
The product contains a hard-coded password, which it uses for its own inbound authentication or for outbound communication to external components.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a wandb openui / / / / / / / /

References

https://gist.github.com/YLChen-007/3bf37486022d4c57caec3a35cd79ac92
https://vuldb.com/?ctiid.353880
https://vuldb.com/?id.353880
https://vuldb.com/?submit.778265

Tags

CWE-259
[email protected]
2026-03-28
CVE-2026-4993

CVSS Score

1.9 / 10

CVSS Data - 4.0

  • Attack Vector: LOCAL
  • Attack Complexity: LOW
  • Attack Requirements: NONE
  • Privileges Required: LOW
  • User Interaction: NONE
  • Scope:
  • Confidentiality Impact: LOW
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • Exploit Maturity: PROOF_OF_CONCEPT

    • CVSS:4.0/AV:L/AC:L/AT:N/PR:L/UI:N/VC:L/VI:N/VA:N/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X

    View Vector String

Timeline

Published: March 28, 2026, 10:16 a.m.
Last Modified: March 28, 2026, 10:16 a.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

Source

[email protected]

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.