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CVE-2022-3436 (GCVE-0-2022-3436)

Vulnerability from cvelistv5 – Published: 2022-10-09 00:00 – Updated: 2024-08-03 01:07
VLAI
Title
SourceCodester Web-Based Student Clearance System Photo edit-photo.php unrestricted upload
Summary
A vulnerability classified as critical was found in SourceCodester Web-Based Student Clearance System 1.0. Affected by this vulnerability is an unknown functionality of the file edit-photo.php of the component Photo Handler. The manipulation leads to unrestricted upload. The attack can be launched remotely. The associated identifier of this vulnerability is VDB-210367.
Severity
6.3 (Medium)
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:L
CWE
  • CWE-266 - Incorrect Privilege Assignment -> CWE-284 Improper Access Controls -> CWE-434 Unrestricted Upload
Assigner
References
Impacted products
Show details on NVD website
To clipboard 

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Taxonomy of the tags.





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.


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.