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CVE-2023-2611 (GCVE-0-2023-2611)

Vulnerability from cvelistv5 – Published: 2023-06-22 16:22 – Updated: 2025-01-16 21:31
VLAI
Title
Advantech R-SeeNet Use of Hard-coded Credentials
Summary
Advantech R-SeeNet versions 2.4.22 is installed with a hidden root-level user that is not available in the users list. This hidden user has a password that cannot be changed by users.
Severity
9.8 (Critical)
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
SSVC
Exploitation: none Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-01-16 21:23 UTC
CWE
  • CWE-798 - Use of Hard-coded Credentials
Assigner
References
Impacted products
Vendor Product Version CPE status
Advantech R-SeeNet Affected: 0 , ≤ 2.4.22 (custom)
guessed Create a notification for this product.
Date Public
2023-06-22 16:18
Credits
Esjay, working with Trend Micro Zero Day Initiative, reported these vulnerabilities to CISA.
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.


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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.