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CVE-2025-1506 (GCVE-0-2025-1506)

Vulnerability from cvelistv5 – Published: 2025-02-28 05:23 – Updated: 2026-04-08 16:58
VLAI
Title
Wp Social Login and Register Social Counter <= 3.1.0 - Cross-Site Request Forgery to Settings Update
Summary
The Wp Social Login and Register Social Counter plugin for WordPress is vulnerable to Cross-Site Request Forgery in all versions up to, and including, 3.1.0. This is due to missing or incorrect nonce validation on the counter_access_key_setup() function. This makes it possible for unauthenticated attackers to update social login provider settings via a forged request granted they can trick a site administrator into performing an action such as clicking on a link.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-02-28 14:53 UTC
CWE
  • CWE-352 - Cross-Site Request Forgery (CSRF)
Impacted products
Vendor Product Version CPE status
roxnor Wp Social Login and Register Social Counter Affected: 0 , ≤ 3.1.0 (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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Detection rules are retrieved from Rulezet.

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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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