CVE-2024-5131 (GCVE-0-2024-5131)

Vulnerability from cvelistv5 – Published: 2024-06-06 18:31 – Updated: 2024-11-03 18:27
VLAI
Title
Improper Access Control in lunary-ai/lunary
Summary
An Improper Access Control vulnerability exists in the lunary-ai/lunary repository, affecting versions up to and including 1.2.2. The vulnerability allows unauthorized users to view any prompts in any projects by supplying a specific prompt ID to an endpoint that does not adequately verify the ownership of the prompt ID. This issue was fixed in version 1.2.25.
SSVC
Exploitation: poc Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-06-07 19:26 UTC
CWE
  • CWE-639 - Authorization Bypass Through User-Controlled Key
Impacted products
Vendor Product Version CPE status
lunary-ai lunary-ai/lunary Affected: unspecified , < 1.2.25 (custom)
guessed Create a notification for this product.
lunary-ai lunary Affected: 0 , ≤ 1.2.2 (custom)
    cpe:2.3:a:lunary-ai:lunary:0:*:*:*:*:*:*:*
Create a notification for this product.
Show details on NVD website

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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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  • Confirmed: The vulnerability has been validated from an analyst's perspective.
  • Published Proof of Concept: A public proof of concept is available for this vulnerability.
  • Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
  • Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
  • Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
  • Not confirmed: The user expressed doubt about the validity of the vulnerability.
  • Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.

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Related by attack behaviour

Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.


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