Vulnerability-Lookup

GSD-2022-39307

Vulnerability from gsd - Updated: 2023-12-13 01:19

Details

Grafana is an open-source platform for monitoring and observability. When using the forget password on the login page, a POST request is made to the `/api/user/password/sent-reset-email` URL. When the username or email does not exist, a JSON response contains a “user not found” message. This leaks information to unauthenticated users and introduces a security risk. This issue has been patched in 9.2.4 and backported to 8.5.15. There are no known workarounds.

Aliases

CVE-2022-39307

Aliases

CVE-2022-39307

JSON

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{
  "GSD": {
    "alias": "CVE-2022-39307",
    "description": "Grafana is an open-source platform for monitoring and observability. When using the forget password on the login page, a POST request is made to the `/api/user/password/sent-reset-email` URL. When the username or email does not exist, a JSON response contains a \u201cuser not found\u201d message. This leaks information to unauthenticated users and introduces a security risk. This issue has been patched in 9.2.4 and backported to 8.5.15. There are no known workarounds.",
    "id": "GSD-2022-39307",
    "references": [
      "https://www.suse.com/security/cve/CVE-2022-39307.html"
    ]
  },
  "gsd": {
    "metadata": {
      "exploitCode": "unknown",
      "remediation": "unknown",
      "reportConfidence": "confirmed",
      "type": "vulnerability"
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      "id": "GSD-2022-39307",
      "modified": "2023-12-13T01:19:20.983227Z",
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}

CVE-2022-39307 (GCVE-0-2022-39307)

Vulnerability from cvelistv5 – Published: 2022-11-09 00:00 – Updated: 2026-01-28 04:55

Title

Grafana subject to Exposure of Sensitive Information resulting in User enumeration via forget password

Summary

Severity

6.7 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-01-27 00:00 UTC

CWE

CWE-200 - Exposure of Sensitive Information to an Unauthorized Actor

Assigner

GitHub_M mitre root

References

2 references

URL	Tags
https://github.com/grafana/grafana/security/advis…
https://security.netapp.com/advisory/ntap-2022121…

Impacted products

1 product

Vendor	Product	Version
grafana	grafana	Affected: >= v9.0.0-beta1, < 9.2.4 Affected: < 8.5.15

Show details on NVD website

JSON

To clipboard

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          },
          {
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            "url": "https://security.netapp.com/advisory/ntap-20221215-0004/"
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        ],
        "title": "CVE Program Container"
      },
      {
        "metrics": [
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              "content": {
                "id": "CVE-2022-39307",
                "options": [
                  {
                    "Exploitation": "none"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2026-01-27T00:00:00+00:00",
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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.