CVE-2024-0273 (GCVE-0-2024-0273)

Vulnerability from cvelistv5 – Published: 2024-01-07 11:00 – Updated: 2025-06-03 14:39
VLAI?
Title
Kashipara Food Management System addwaste_entry.php sql injection
Summary
A vulnerability was found in Kashipara Food Management System up to 1.0. It has been classified as critical. Affected is an unknown function of the file addwaste_entry.php. The manipulation of the argument item_name leads to sql injection. It is possible to launch the attack remotely. The exploit has been disclosed to the public and may be used. The identifier of this vulnerability is VDB-249828.
Severity ?
6.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
6.3 (Medium)
CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
CWE
Assigner
References
URL Tags
https://vuldb.com/?id.249828 vdb-entrytechnical-description
https://vuldb.com/?ctiid.249828 signaturepermissions-required
https://github.com/E1CHO/cve_hub/blob/main/Food%2… exploit
Impacted products
Credits
SSL_Seven_Security Lab_WangZhiQiang_XiaoZiLong (VulDB User)
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

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.



Detection rules are retrieved from Rulezet.