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CVE-2024-13259 (GCVE-0-2024-13259)

Vulnerability from cvelistv5 – Published: 2025-01-09 19:11 – Updated: 2025-01-10 16:44
VLAI
Title
Image Sizes - Moderately critical - Access bypass - SA-CONTRIB-2024-023
Summary
Insertion of Sensitive Information Into Sent Data vulnerability in Drupal Image Sizes allows Forceful Browsing.This issue affects Image Sizes: from 0.0.0 before 3.0.2.
Severity
7.5 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-10 16:43 UTC
CWE
  • CWE-201 - Insertion of Sensitive Information Into Sent Data
Assigner
References
Impacted products
Vendor Product Version CPE status
Drupal Image Sizes Affected: 0.0.0 , < 3.0.2 (semver)
guessed Create a notification for this product.
Date Public
2024-05-29 16:52
Credits
Dezső Biczó Dezső Biczó Pascal Crott Juraj Nemec Juraj Nemec Neil Drumm Michael Hess
Show details on NVD website
To clipboard 

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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.

Sightings

Author Source Type Date Other

Nomenclature

  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
  • 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.


Detection rules are retrieved from Rulezet.


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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.