Vulnerability-Lookup

GHSA-8X72-XC5H-WW5P

Vulnerability from github – Published: 2022-05-24 16:45 – Updated: 2022-05-24 16:45

Details

Crestron AM-100 with firmware 1.6.0.2 and AM-101 with firmware 2.7.0.2 stores usernames, passwords, slideshow passcode, and other configuration options in cleartext in the file /tmp/scfgdndf. A local attacker can use this vulnerability to recover sensitive data.

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{
  "affected": [],
  "aliases": [
    "CVE-2019-3937"
  ],
  "database_specific": {
    "cwe_ids": [],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-04-30T21:29:00Z",
    "severity": "HIGH"
  },
  "details": "Crestron AM-100 with firmware 1.6.0.2 and AM-101 with firmware 2.7.0.2 stores usernames, passwords, slideshow passcode, and other configuration options in cleartext in the file /tmp/scfgdndf. A local attacker can use this vulnerability to recover sensitive data.",
  "id": "GHSA-8x72-xc5h-ww5p",
  "modified": "2022-05-24T16:45:00Z",
  "published": "2022-05-24T16:45:00Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-3937"
    },
    {
      "type": "WEB",
      "url": "https://www.tenable.com/security/research/tra-2019-20"
    }
  ],
  "schema_version": "1.4.0",
  "severity": []
}

CVE-2019-3937 (GCVE-0-2019-3937)

Vulnerability from cvelistv5 – Published: 2019-04-30 20:38 – Updated: 2024-08-04 19:26

Summary

Severity

No CVSS data available.

CWE

CWE-312 - Cleartext Storage

Assigner

tenable mitre root

References

1 reference

URL	Tags
https://www.tenable.com/security/research/tra-2019-20	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Crestron	Crestron AirMedia	Affected: AM-100 firmware 1.6.0.2 and AM-101 firmware 2.7.0.2

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          "dateUpdated": "2024-08-04T19:26:27.781Z",
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            ],
            "url": "https://www.tenable.com/security/research/tra-2019-20"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "vendor": "Crestron",
          "versions": [
            {
              "status": "affected",
              "version": "AM-100 firmware 1.6.0.2 and AM-101 firmware 2.7.0.2"
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        }
      ],
      "problemTypes": [
        {
          "descriptions": [
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      "providerMetadata": {
        "dateUpdated": "2019-04-30T20:38:24.000Z",
        "orgId": "5ac1ecc2-367a-4d16-a0b2-35d495ddd0be",
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      },
      "references": [
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          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://www.tenable.com/security/research/tra-2019-20"
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      "x_legacyV4Record": {
        "CVE_data_meta": {
          "ASSIGNER": "vulnreport@tenable.com",
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        },
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              {
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                      "version": {
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  "cveMetadata": {
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    "dateReserved": "2019-01-03T00:00:00.000Z",
    "dateUpdated": "2024-08-04T19:26:27.781Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
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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.