CVE-2021-24565 (GCVE-0-2021-24565)

Vulnerability from cvelistv5 – Published: 2021-08-23 11:10 – Updated: 2024-08-03 19:35
VLAI
Title
Contact Form 7 Captcha < 0.0.9 - CSRF to Stored XSS
Summary
The Contact Form 7 Captcha WordPress plugin before 0.0.9 does not have any CSRF check in place when saving its settings, allowing attacker to make a logged in user with the manage_options change them. Furthermore, the settings are not escaped when output in attributes, leading to a Stored Cross-Site Scripting issue.
Severity
8.8 (High)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H
CWE
  • CWE-79 - Cross-site Scripting (XSS)
  • CWE-352 - Cross-Site Request Forgery (CSRF)
Assigner
References
Impacted products
Vendor Product Version CPE status
Unknown Contact Form 7 Captcha Affected: 0.0.9 , < 0.0.9 (custom)
guessed Create a notification for this product.
Credits
dc11
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.