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CVE-2023-3864 (GCVE-0-2023-3864)

Vulnerability from cvelistv5 – Published: 2023-08-11 11:24 – Updated: 2024-10-09 19:13
VLAI
Title
SQL injection vulnerability in Snow License Manager
Summary
Blind SQL injection in a service running in Snow Software license manager from version 8.0.0 up to and including 9.30.1 on Windows allows a logged in user with high privileges to inject SQL commands via the web portal.
Severity
7.2 (High)
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-09 19:10 UTC
CWE
  • CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
References
Impacted products
Vendor Product Version CPE status
Snow Software SLM Affected: 8.0.0 , ≤ 9.30.1 (0)
guessed Create a notification for this product.
snowsoftware snow_license_manager Affected: 8.0.0 , ≤ 9.30.1 (custom)
    cpe:2.3:a:snowsoftware:snow_license_manager:*:*:*:*:*:*:*:*
Create a notification for this product.
Date Public
2023-08-11 13:00
Credits
Can Doğu
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.