Vulnerability-Lookup

GHSA-97C5-JW9R-3FWJ

Vulnerability from github – Published: 2022-03-22 00:00 – Updated: 2022-03-30 00:01

Details

An issue was discovered in Grafana through 7.3.4, when integrated with Zabbix. The Zabbix password can be found in the api_jsonrpc.php HTML source code. When the user logs in and allows the user to register, one can right click to view the source code and use Ctrl-F to search for password in api_jsonrpc.php to discover the Zabbix account password and URL address.

Severity

9.8 (Critical)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2022-26148"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-312"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2022-03-21T20:15:00Z",
    "severity": "CRITICAL"
  },
  "details": "An issue was discovered in Grafana through 7.3.4, when integrated with Zabbix. The Zabbix password can be found in the api_jsonrpc.php HTML source code. When the user logs in and allows the user to register, one can right click to view the source code and use Ctrl-F to search for password in api_jsonrpc.php to discover the Zabbix account password and URL address.",
  "id": "GHSA-97c5-jw9r-3fwj",
  "modified": "2022-03-30T00:01:17Z",
  "published": "2022-03-22T00:00:36Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2022-26148"
    },
    {
      "type": "WEB",
      "url": "https://2k8.org/post-319.html"
    },
    {
      "type": "WEB",
      "url": "https://security.netapp.com/advisory/ntap-20220425-0005"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2022-26148 (GCVE-0-2022-26148)

Vulnerability from cvelistv5 – Published: 2022-03-21 19:51 – Updated: 2024-08-03 04:56

Summary

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://2k8.org/post-319.html	x_refsource_MISC
https://security.netapp.com/advisory/ntap-2022042…	x_refsource_CONFIRM

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JSON

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              "x_transferred"
            ],
            "url": "https://2k8.org/post-319.html"
          },
          {
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              "x_transferred"
            ],
            "url": "https://security.netapp.com/advisory/ntap-20220425-0005/"
          }
        ],
        "title": "CVE Program Container"
      }
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    "cna": {
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          "versions": [
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        }
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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.