CVE-2022-40310 (GCVE-0-2022-40310)

Vulnerability from cvelistv5 – Published: 2022-09-23 14:20 – Updated: 2026-04-28 16:07
VLAI
Title
WordPress Rate my Post – WP Rating System plugin <= 3.3.4 - Race Condition vulnerability
Summary
Authenticated (subscriber+) Race Condition vulnerability in Rate my Post – WP Rating System plugin <= 3.3.4 at WordPress allows attackers to increase/decrease votes.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-20 19:24 UTC
CWE
  • Race condition
  • CWE-362 - Concurrent Execution using Shared Resource with Improper Synchronization ('Race Condition')
References
Impacted products
Vendor Product Version CPE status
Blaz K. Rate my Post – WP Rating System (WordPress plugin) Affected: <= 3.3.4 , ≤ 3.3.4 (custom)
guessed Create a notification for this product.
Date Public
2022-09-14 00:00
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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