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CVE-2022-0634 (GCVE-0-2022-0634)

Vulnerability from cvelistv5 – Published: 2022-04-25 15:51 – Updated: 2024-08-02 23:32
VLAI
Title
ThirstyAffiliates < 3.10.5 - Subscriber+ unauthorized image upload + CSRF
Summary
The ThirstyAffiliates WordPress plugin before 3.10.5 lacks authorization checks in the ta_insert_external_image action, allowing a low-privilege user (with a role as low as Subscriber) to add an image from an external URL to an affiliate link. Further the plugin lacks csrf checks, allowing an attacker to trick a logged in user to perform the action by crafting a special request.
Severity
4.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:N
CWE
Assigner
References
URL Tags
https://wpscan.com/vulnerability/7e11aeb0-b231-40… exploitvdb-entrytechnical-description
Impacted products
Vendor Product Version CPE status
Unknown ThirstyAffiliates Affected: 0 , < 3.10.5 (custom)
guessed Create a notification for this product.
Credits
Muhamad Hidayat WPScan
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.


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.