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VAR-201907-1146

Vulnerability from variot - Updated: 2023-12-18 13:47

Memory corruption issue was discovered in Moxa OnCell G3470A-LTE Series version 1.6 Build 18021314 and prior, a different vulnerability than CVE-2018-11424. Moxa OnCell G3470A-LTE The series contains a buffer error vulnerability. This vulnerability CVE-2018-11424 Is a different vulnerability.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. MoxaOnCellG3470A-LTE is a G3470A-LTE series cellular network gateway device from Moxa Corporation of Taiwan, China. A memory corruption vulnerability exists in MoxaOnCellG3470A-LTE1.6Build18021314 and earlier. An attacker could exploit this vulnerability to corrupt memory. There are security vulnerabilities in Moxa OnCell G3470A-LTE 1.6 Build 18021314 and earlier versions

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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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