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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
VLAI
Title
Grafana subject to Exposure of Sensitive Information resulting in User enumeration via forget password
Summary
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.
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
References
Impacted products
Vendor Product Version CPE status
grafana grafana Affected: >= v9.0.0-beta1, < 9.2.4
Affected: < 8.5.15
guessed Create a notification for this product.
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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

Sightings

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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.


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.