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CVE-2024-5389

MEDIUM
Published 2024-06-09T22:22:38.179Z
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CVSS Score

V3.0
5.7
/10
CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:H/I:N/A:N
Base Score Metrics
Exploitability: N/A Impact: N/A

EPSS Score

v2025.03.14
0.001
probability
of exploitation in the wild

There is a 0.1% chance that this vulnerability will be exploited in the wild within the next 30 days.

Updated: 2025-06-25
Exploit Probability
Percentile: 0.290
Higher than 29.0% of all CVEs

Attack Vector Metrics

Attack Vector
NETWORK
Attack Complexity
LOW
Privileges Required
LOW
User Interaction
REQUIRED
Scope
UNCHANGED

Impact Metrics

Confidentiality
HIGH
Integrity
NONE
Availability
NONE

Description

In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to create, update, get, and delete prompt variations for datasets not owned by their organization. This issue arises due to the application not properly validating the ownership of dataset prompts and their variations against the organization or project of the requesting user. As a result, unauthorized modifications to dataset prompts can occur, leading to altered or removed dataset prompts without proper authorization. This vulnerability impacts the integrity and consistency of dataset information, potentially affecting the results of experiments.

Available Exploits

No exploits available for this CVE.

Related News

No news articles found for this CVE.

Affected Products

lunary-ai

lunary-ai/lunary

Affected Versions:

unspecified
lunary-ai

lunary

Affected Versions:

1.2.13

GitHub Security Advisories

Community-driven vulnerability intelligence from GitHub

✓ GitHub Reviewed MODERATE

lunary-ai/lunary Access Control Vulnerability in Prompt Variation Management

GHSA-3mwc-2cj7-gx8c

Advisory Details

Withdrawn: This advisory was incorrectly linked the the npm package `lunary`. The advisory is valid, but not for that package. In lunary-ai/lunary version 1.2.13, an insufficient granularity of access control vulnerability allows users to create, update, get, and delete prompt variations for datasets not owned by their organization. This issue arises due to the application not properly validating the ownership of dataset prompts and their variations against the organization or project of the requesting user. As a result, unauthorized modifications to dataset prompts can occur, leading to altered or removed dataset prompts without proper authorization. This vulnerability impacts the integrity and consistency of dataset information, potentially affecting the results of experiments.

Affected Packages

npm lunary
ECOSYSTEM: ≥0 <1.4.9

CVSS Scoring

CVSS Score

5.0

CVSS Vector

CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:H/I:H/A:N

References

ADVISORY https://nvd.nist.gov/vuln/detail/CVE-2024-5389
WEB https://github.com/lunary-ai/lunary/commit/35dd4af0001a54ccb14276a1546eb977f82c0c5e
PACKAGE https://github.com/lunary-ai/lunary
WEB https://huntr.com/bounties/3ca5309f-5615-4d5b-8043-968af220d7a2

Advisory provided by GitHub Security Advisory Database. Published: June 10, 2024, Modified: November 25, 2024

References

https://huntr.com/bounties/3ca5309f-5615-4d5b-8043-968af220d7a2
Published: 2024-06-09T22:22:38.179Z
Last Modified: 2024-08-01T21:11:12.487Z
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