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CVE-2022-29825 (GCVE-0-2022-29825)

Vulnerability from cvelistv5 – Published: 2022-11-24 23:21 – Updated: 2025-11-07 06:49
VLAI
Summary
Use of Hard-coded Password vulnerability in Mitsubishi Electric GX Works3 versions from 1.000A to 1.090U, GT Designer3 Version1 (GOT2000) versions from 1.122C to 1.290C, and MT Works2 versions from 1.100E to 1.200J allows an unauthenticated attacker to disclose sensitive information. As a result, unauthenticated users may view programs and project files or execute programs illegally.
Severity
5.6 (Medium)
CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:C/C:H/I:N/A:N
SSVC
Exploitation: none Automatable: no Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-04-25 17:52 UTC
CWE
  • CWE-259 - Use of Hard-coded Password
Assigner
References
Impacted products
Show details on NVD website
To clipboard 

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}



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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.