Vulnerability-Lookup

GHSA-Q46W-JXF7-CPQF

Vulnerability from github – Published: 2022-05-17 02:43 – Updated: 2022-05-17 02:43

Details

A hard-coded credentials issue was discovered on Mimosa Client Radios before 2.2.3, Mimosa Backhaul Radios before 2.2.3, and Mimosa Access Points before 2.2.3. These devices run Mosquitto, a lightweight message broker, to send information between devices. By using the vendor's hard-coded credentials to connect to the broker on any device (whether it be an AP, Client, or Backhaul model), an attacker can view all the messages being sent between the devices. If an attacker connects to an AP, the AP will leak information about any clients connected to it, including the serial numbers, which can be used to remotely factory reset the clients via a page in their web interface.

Severity

7.5 (High)


                  
                    CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N

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{
  "affected": [],
  "aliases": [
    "CVE-2017-9132"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-798"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-05-21T21:29:00Z",
    "severity": "HIGH"
  },
  "details": "A hard-coded credentials issue was discovered on Mimosa Client Radios before 2.2.3, Mimosa Backhaul Radios before 2.2.3, and Mimosa Access Points before 2.2.3. These devices run Mosquitto, a lightweight message broker, to send information between devices. By using the vendor\u0027s hard-coded credentials to connect to the broker on any device (whether it be an AP, Client, or Backhaul model), an attacker can view all the messages being sent between the devices. If an attacker connects to an AP, the AP will leak information about any clients connected to it, including the serial numbers, which can be used to remotely factory reset the clients via a page in their web interface.",
  "id": "GHSA-q46w-jxf7-cpqf",
  "modified": "2022-05-17T02:43:46Z",
  "published": "2022-05-17T02:43:46Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-9132"
    },
    {
      "type": "WEB",
      "url": "http://blog.iancaling.com/post/160596244178"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2017-9132 (GCVE-0-2017-9132)

Vulnerability from cvelistv5 – Published: 2017-05-21 21:00 – Updated: 2024-08-05 16:55

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
http://blog.iancaling.com/post/160596244178	x_refsource_MISC

Date Public

2017-05-21 00:00

Show details on NVD website

JSON

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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.

The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base model, served locally by ML-Gateway. They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
Browse all ATT&CK techniques and the vulnerabilities related to each.

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.