CVE-2022-2768 (GCVE-0-2022-2768)

Vulnerability from cvelistv5 – Published: 2022-08-11 11:50 – Updated: 2025-04-15 13:52
VLAI
Title
SourceCodester Library Management System cross site scripting
Summary
A vulnerability classified as problematic was found in SourceCodester Library Management System. This vulnerability affects unknown code of the file /qr/I/. The manipulation of the argument error leads to cross site scripting. The attack can be initiated remotely. The identifier of this vulnerability is VDB-206164.
Severity
3.5 (Low)
CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:U/C:N/I:L/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-14 17:11 UTC
CWE
  • CWE-79 - Cross Site Scripting
Assigner
References
URL Tags
https://vuldb.com/?id.206164 x_refsource_MISC
Impacted products
Vendor Product Version CPE status
SourceCodester Library Management System Affected: n/a
guessed Create a notification for this product.
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.


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.