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CVE-2018-25143 (GCVE-0-2018-25143)

Vulnerability from cvelistv5 – Published: 2025-12-24 19:27 – Updated: 2025-12-24 20:25
VLAI
Title
Microhard Systems IPn4G 1.1.0 Backdoor Jailbreak via Microhard Sh Service
Summary
Microhard Systems IPn4G 1.1.0 contains a service vulnerability that allows authenticated users to enable a restricted SSH shell with a default 'msshc' user. Attackers can exploit a custom 'ping' command in the NcFTP environment to escape the restricted shell and execute commands with root privileges.
SSVC
Exploitation: poc Automatable: yes Technical Impact: total
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2025-12-24 20:12 UTC
CWE
  • CWE-78 - Improper Neutralization of Special Elements used in an OS Command ('OS Command Injection')
Impacted products
Date Public
2018-03-13 00:00
Show details on NVD website

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    }
  }
}



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Tags
Taxonomy of the tags.


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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.

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Detection rules are retrieved from Rulezet.

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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.


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