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CVE-2024-12940 (GCVE-0-2024-12940)

Vulnerability from cvelistv5 – Published: 2024-12-26 07:00 – Updated: 2024-12-26 21:26
VLAI
Title
1000 Projects Attendance Tracking Management System student_action.php sql injection
Summary
A vulnerability has been found in 1000 Projects Attendance Tracking Management System 1.0 and classified as critical. This vulnerability affects unknown code of the file /admin/student_action.php. The manipulation of the argument student_id leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used.
SSVC
Exploitation: poc Automatable: no Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-12-26 21:25 UTC
CWE
References
URL Tags
https://vuldb.com/?id.289300 vdb-entrytechnical-description
https://vuldb.com/?ctiid.289300 signaturepermissions-required
https://vuldb.com/?submit.468286 third-party-advisory
https://github.com/bug3536/CVE/issues/1 exploitissue-tracking
https://1000projects.org/ product
Impacted products
Show details on NVD website

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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.

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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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