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CVE-2025-13717 (GCVE-0-2025-13717)

Vulnerability from cvelistv5 – Published: 2026-01-09 11:15 – Updated: 2026-04-08 17:19
VLAI
Title
Contact Form vCard Generator <= 2.4 - Missing Authorization to Unauthenticated Sensitive Information Exposure via 'wp-gvc-cf-download-id' Parameter
Summary
The Contact Form vCard Generator plugin for WordPress is vulnerable to unauthorized access of data due to a missing capability check on the 'wp_gvccf_check_download_request' function in all versions up to, and including, 2.4. This makes it possible for unauthenticated attackers to export sensitive Contact Form 7 submission data via the 'wp-gvc-cf-download-id' parameter, including names, phone numbers, email addresses, and messages.
Severity
5.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
SSVC
Exploitation: none Automatable: yes Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2026-01-09 17:43 UTC
CWE
Assigner
References
Impacted products
Vendor Product Version CPE status
ashishajani Contact Form vCard Generator Affected: 0 , ≤ 2.4 (semver)
guessed Create a notification for this product.
Credits
Sopon Tangpathum (SoNaJaa)
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

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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.
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  • 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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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.