CVE-2022-3904 (GCVE-0-2022-3904)

Vulnerability from cvelistv5 – Published: 2023-01-16 15:37 – Updated: 2025-04-08 19:34
VLAI
Title
MonsterInsights < 8.9.1 - Stored Cross-Site Scripting via Google Analytics
Summary
The MonsterInsights WordPress plugin before 8.9.1 does not sanitize or escape page titles in the top posts/pages section, allowing an unauthenticated attacker to inject arbitrary web scripts into the titles by spoofing requests to google analytics.
Severity
6.1 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-08 19:33 UTC
CWE
Assigner
References
URL Tags
https://wpscan.com/vulnerability/244d9ef1-335c-4f… exploitvdb-entrytechnical-description
Impacted products
Vendor Product Version CPE status
Unknown MonsterInsights Affected: 0 , < 8.9.1 (custom)
guessed Create a notification for this product.
Credits
Grzegorz Niedziela 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.


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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.