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CVE-2022-2039 (GCVE-0-2022-2039)

Vulnerability from cvelistv5 – Published: 2022-07-18 16:12 – Updated: 2026-04-08 17:28
VLAI
Title
Free Live Chat Support <= 1.0.11 - Cross-Site Request Forgery to Cross-Site Scripting
Summary
The Free Live Chat Support plugin for WordPress is vulnerable to Cross-Site Request Forgery in versions up to, and including 1.0.11. This is due to missing nonce protection on the livesupporti_settings() function found in the ~/livesupporti.php file. This makes it possible for unauthenticated attackers to inject malicious web scripts into the page, granted they can trick a site's administrator into performing an action such as clicking on a link.
CWE
  • CWE-352 - Cross-Site Request Forgery (CSRF)
Impacted products
Vendor Product Version CPE status
livesupporti Free Live Chat Support Affected: 0 , ≤ 1.0.11 (semver)
guessed 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.

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.

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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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