CVE-2024-5128
Lunary AI Lunary IDOR Vulnerability
Description
An Insecure Direct Object Reference (IDOR) vulnerability was identified in lunary-ai/lunary, affecting versions up to and including 1.2.2. This vulnerability allows unauthorized users to view, update, or delete any dataset_prompt or dataset_prompt_variation within any dataset or project. The issue stems from improper access control checks in the dataset management endpoints, where direct references to object IDs are not adequately secured against unauthorized access. This vulnerability was fixed in version 1.2.25.
INFO
Published Date :
June 6, 2024, 7:16 p.m.
Last Modified :
June 7, 2024, 2:56 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.5
Exploitability Score :
3.9
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2024-5128
.
URL | Resource |
---|---|
https://github.com/lunary-ai/lunary/commit/0755dde1afc2a74ec23b55eee03e4416916cf48f | |
https://huntr.com/bounties/11248071-11b2-42d9-991a-504bf2044332 |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2024-5128
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2024-5128
vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
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CVE Received by [email protected]
Jun. 06, 2024
Action Type Old Value New Value Added Description An Insecure Direct Object Reference (IDOR) vulnerability was identified in lunary-ai/lunary, affecting versions up to and including 1.2.2. This vulnerability allows unauthorized users to view, update, or delete any dataset_prompt or dataset_prompt_variation within any dataset or project. The issue stems from improper access control checks in the dataset management endpoints, where direct references to object IDs are not adequately secured against unauthorized access. This vulnerability was fixed in version 1.2.25. Added Reference huntr.dev https://huntr.com/bounties/11248071-11b2-42d9-991a-504bf2044332 [No types assigned] Added Reference huntr.dev https://github.com/lunary-ai/lunary/commit/0755dde1afc2a74ec23b55eee03e4416916cf48f [No types assigned] Added CWE huntr.dev CWE-284 Added CVSS V3 huntr.dev AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:L
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2024-5128
is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2024-5128
weaknesses.