Vulnerability-Lookup

GHSA-XG3X-5QG6-QVM9

Vulnerability from github – Published: 2022-05-13 01:47 – Updated: 2022-05-13 01:47

Details

Ceragon FibeAir IP-10 wireless radios through 7.2.0 have a default password of mateidu for the mateidu account (a hidden user account established by the vendor). This account can be accessed via both the web interface and SSH. In the web interface, this simply grants an attacker read-only access to the device's settings. However, when using SSH, this gives an attacker access to a Linux shell. NOTE: the vendor has commented "The mateidu user is a known user, which is mentioned in the FibeAir IP-10 User Guide. Customers are instructed to change the mateidu user password. Changing the user password fully solves the vulnerability."

Severity

7.3 (High)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2017-9137"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-1188"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2017-05-21T21:29:00Z",
    "severity": "HIGH"
  },
  "details": "Ceragon FibeAir IP-10 wireless radios through 7.2.0 have a default password of mateidu for the mateidu account (a hidden user account established by the vendor). This account can be accessed via both the web interface and SSH. In the web interface, this simply grants an attacker read-only access to the device\u0027s settings. However, when using SSH, this gives an attacker access to a Linux shell. NOTE: the vendor has commented \"The mateidu user is a known user, which is mentioned in the FibeAir IP-10 User Guide. Customers are instructed to change the mateidu user password. Changing the user password fully solves the vulnerability.\"",
  "id": "GHSA-xg3x-5qg6-qvm9",
  "modified": "2022-05-13T01:47:48Z",
  "published": "2022-05-13T01:47:48Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2017-9137"
    },
    {
      "type": "WEB",
      "url": "http://blog.iancaling.com/post/160817658078"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2017-9137 (GCVE-0-2017-9137)

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/160817658078	x_refsource_MISC

Date Public

2017-05-21 00:00

Show details on NVD website

JSON

To clipboard

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            "url": "http://blog.iancaling.com/post/160817658078"
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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.