CVE-2022-23127 (GCVE-0-2022-23127)

Vulnerability from cvelistv5 – Published: 2022-01-21 18:17 – Updated: 2024-08-03 03:36
VLAI
Summary
Cross-site Scripting vulnerability in Mitsubishi Electric MC Works64 versions 4.04E (10.95.210.01) and prior and ICONICS MobileHMI versions 10.96.2 and prior allows a remote unauthenticated attacker to gain authentication information of an MC Works64 or MobileHMI and perform any operation using the acquired authentication information, by injecting a malicious script in the URL of a monitoring screen delivered from the MC Works64 server or MobileHMI server to an application for mobile devices and leading a legitimate user to access this URL.
Severity
6.1 (Medium)
CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
CWE
  • Cross-site Scripting
Assigner
References
Impacted products
Vendor Product Version CPE status
n/a Mitsubishi Electric MC Works64; ICONICS MobileHMI Affected: Mitsubishi Electric MC Works64 versions 4.04E (10.95.210.01) and prior
Affected: ICONICS MobileHMI versions 10.96.2 and prior
Show details on NVD website
To clipboard 

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}



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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

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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.



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.