VAR-201905-0420

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

JioFi 4 jmr1140 Amtel_JMR1140_R12.07 devices allow remote attackers to obtain the Wi-Fi password by making a cgi-bin/qcmap_web_cgi Page=GetWiFi_Setting request and then reading the wpa_security_key field. JioFi 4 jmr1140 The device contains vulnerabilities related to certificate and password management.Information is obtained, information is altered, and service operation is disrupted (DoS) There is a possibility of being put into a state. Reliance Jio Infocomm JioFi 4 jmr1140 is a portable wireless router device from Reliance Jio Infocomm in Australia. There is a trust management issue vulnerability in Reliance Jio Infocomm JioFi 4 jmr1140 Amtel_JMR1140_R12.07 version. This vulnerability stems from the lack of an effective trust management mechanism in network systems or products. Attackers can use default passwords or hard-coded passwords, hard-coded certificates, etc. to attack affected components

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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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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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