CVE-2022-3015 (GCVE-0-2022-3015)

Vulnerability from cvelistv5 – Published: 2022-08-27 09:05 – Updated: 2025-04-15 13:47
VLAI
Title
oretnom23 Fast Food Ordering System cross site scripting
Summary
A vulnerability, which was classified as problematic, has been found in oretnom23 Fast Food Ordering System. This issue affects some unknown processing of the file admin/?page=reports. The manipulation of the argument date leads to cross site scripting. The attack may be initiated remotely. The identifier VDB-207425 was assigned to this vulnerability.
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 17:10 UTC
CWE
  • CWE-79 - Cross Site Scripting
Assigner
References
URL Tags
https://vuldb.com/?id.207425 x_refsource_MISC
Impacted products
Vendor Product Version CPE status
oretnom23 Fast Food Ordering System Affected: n/a
guessed Create a notification for this product.
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.


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.