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CVE-2023-2805 (GCVE-0-2023-2805)

Vulnerability from cvelistv5 – Published: 2023-06-19 10:52 – Updated: 2024-12-09 21:17
VLAI
Title
SupportCandy < 3.1.7 - Admin+ SQLi
Summary
The SupportCandy WordPress plugin before 3.1.7 does not properly sanitise and escape the agents[] parameter in the set_add_agent_leaves AJAX function before using it in a SQL statement, leading to a SQL injection exploitable by high privilege users such as admin.
Severity
No CVSS data available.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-12-09 21:17 UTC
CWE
Assigner
References
URL Tags
https://wpscan.com/vulnerability/bdb75c8c-87e2-43… exploitvdb-entrytechnical-description
Impacted products
Vendor Product Version CPE status
Unknown SupportCandy Affected: 0 , < 3.1.7 (custom)
guessed Create a notification for this product.
Credits
dc11 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

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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.
  • 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.