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CVE-2025-12334 (GCVE-0-2025-12334)

Vulnerability from cvelistv5 – Published: 2025-10-27 22:32 – Updated: 2025-10-28 19:50 X_Freeware
VLAI
Title
code-projects E-Commerce Website product_add.php cross site scripting
Summary
A vulnerability was found in code-projects E-Commerce Website 1.0. Affected is an unknown function of the file /pages/product_add.php. The manipulation of the argument prod_name/prod_desc/prod_cost results in cross site scripting. It is possible to launch the attack remotely. The exploit has been made public and could be used.
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-10-28 19:50 UTC
CWE
References
URL Tags
https://vuldb.com/?id.330121 vdb-entrytechnical-description
https://vuldb.com/?ctiid.330121 signaturepermissions-required
https://vuldb.com/?submit.674484 third-party-advisory
https://figshare.com/s/026d2a9dffbc7385777b exploit
https://code-projects.org/ product
Impacted products
Vendor Product Version CPE status
code-projects E-Commerce Website Affected: 1.0
guessed Create a notification for this product.
Show details on NVD website

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  • 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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