Vulnerability-Lookup

GHSA-VF4C-CMQM-2C6V

Vulnerability from github – Published: 2022-05-13 01:14 – Updated: 2022-05-13 01:14

Details

Users with Site-level permissions can access files containing the username-encrypted passwords of Security Console Global Administrators and clear-text passwords for restoring backups, as well as the salt for those passwords. Valid credentials are required to access these files and malicious users would still need to perform additional work to decrypt the credentials and escalate privileges. This issue affects: Rapid7 InsightVM versions 6.5.11 through 6.5.49.

Severity

6.5 (Medium)


                  
                    CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N

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  "affected": [],
  "aliases": [
    "CVE-2019-5615"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-522"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2019-04-09T16:29:00Z",
    "severity": "MODERATE"
  },
  "details": "Users with Site-level permissions can access files containing the username-encrypted passwords of Security Console Global Administrators and clear-text passwords for restoring backups, as well as the salt for those passwords. Valid credentials are required to access these files and malicious users would still need to perform additional work to decrypt the credentials and escalate privileges. This issue affects: Rapid7 InsightVM versions 6.5.11 through 6.5.49.",
  "id": "GHSA-vf4c-cmqm-2c6v",
  "modified": "2022-05-13T01:14:31Z",
  "published": "2022-05-13T01:14:31Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2019-5615"
    },
    {
      "type": "WEB",
      "url": "https://help.rapid7.com/insightvm/en-us/release-notes/#6.5.50"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2019-5615 (GCVE-0-2019-5615)

Vulnerability from cvelistv5 – Published: 2019-04-09 15:27 – Updated: 2024-09-17 03:02

Title

Rapid7 InsightVM Stored Credential Exposure

Summary

Severity

3.1 (Low)


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

CWE

CWE-257
Storing Passwords in a Recoverable Format

Assigner

rapid7 mitre root

References

1 reference

URL	Tags
https://help.rapid7.com/insightvm/en-us/release-n…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Rapid7	InsightVM	Affected: 6.5.49 , ≤ 6.5.49 (custom) Affected: 6.5.11 , < 6.5.11* (custom)

Date Public

2019-01-30 00:00

Credits

This issue was discovered, and reported to Rapid7, by Robert Elliott from IBM Security. It is being disclosed in accordance Rapid7's vulnerability disclosure policy (https://www.rapid7.com/disclosure/).

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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.