CVE-2024-4147

Feb. 3, 2026, 4:44 p.m.

7.5
High

Description

In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to delete prompts created in other organizations through ID manipulation. The vulnerability stems from the application's failure to validate the ownership of the prompt before deletion, only checking if the user has permissions to delete such resources without verifying if it belongs to the user's project or organization. As a result, users can remove prompts not owned by their organization or project, leading to legitimate users being unable to access the removed prompts and causing information inconsistencies.

Product(s) Impacted

Vendor Product Versions
Lunary-ai
  • Lunary
  • 1.2.13

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-1220
Insufficient Granularity of Access Control
The product implements access controls via a policy or other feature with the intention to disable or restrict accesses (reads and/or writes) to assets in a system from untrusted agents. However, implemented access controls lack required granularity, which renders the control policy too broad because it allows accesses from unauthorized agents to the security-sensitive assets.

*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 lunary-ai lunary 1.2.13 / / / / / / /

CVSS Score

7.5 / 10

CVSS Data - 3.0

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: NONE
  • Scope: UNCHANGED
  • Confidentiality Impact: NONE
  • Integrity Impact: NONE
  • Availability Impact: HIGH
  • CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H

    View Vector String

Timeline

Published: Feb. 2, 2026, 11:16 a.m.
Last Modified: Feb. 3, 2026, 4:44 p.m.

Status : Undergoing Analysis

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

More info

*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.