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GHSA-R66V-9CPQ-347Q

Vulnerability from github – Published: 2026-03-31 12:31 – Updated: 2026-03-31 12:31

Details

SQL inyection (SQLi) vulnerability in Umami Software web application through an improperly sanitized parameter, which could allow an authenticated attacker to execute arbitrary SQL commands in the database.Specifically, they could manipulate the value of the 'timezone' request parameter by including malicious characters and SQL payload. The application would interpolate these values directly into the SQL query without first performing proper filtering or sanitization (e.g., using functions such as 'prisma.rawQuery', 'prisma.$queryRawUnsafe' or raw queries with 'ClickHouse'). The successful explotation of this vulnerability could allow an authenticated attacker to compromiso the data of the database and execute dangerous functions.

Severity

9.3 (Critical)


                  
                    CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:H

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  "affected": [],
  "aliases": [
    "CVE-2026-4317"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-89"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2026-03-31T10:16:19Z",
    "severity": "CRITICAL"
  },
  "details": "SQL inyection (SQLi) vulnerability in Umami Software web application through an improperly sanitized parameter, which could allow an authenticated attacker to execute arbitrary SQL commands in the database.Specifically, they could manipulate the value of the \u0027timezone\u0027 request parameter by including malicious characters and SQL payload. The application would interpolate these values directly into the SQL query without first performing proper filtering or sanitization (e.g., using functions such as \u0027prisma.rawQuery\u0027, \u0027prisma.$queryRawUnsafe\u0027 or raw queries with \u0027ClickHouse\u0027). The successful explotation of this vulnerability could allow an authenticated attacker to compromiso the data of the database and execute dangerous functions.",
  "id": "GHSA-r66v-9cpq-347q",
  "modified": "2026-03-31T12:31:34Z",
  "published": "2026-03-31T12:31:34Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2026-4317"
    },
    {
      "type": "WEB",
      "url": "https://www.incibe.es/en/incibe-cert/notices/aviso/sql-inyection-umami-software-application"
    }
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      "type": "CVSS_V4"
    }
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}

CVE-2026-4317 (GCVE-0-2026-4317)

Vulnerability from cvelistv5 – Published: 2026-03-31 09:53 – Updated: 2026-03-31 18:04

Title

SQL inyection in Umami Software application

Summary

Severity

9.3 (Critical)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:N/VC:H/VI:H/VA:L/SC:N/SI:N/SA:H

SSVC

Exploitation: none Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2026-03-31 14:59 UTC

CWE

CWE-89 - Improper neutralization of special elements used in an SQL command ('SQL injection')

Assigner

INCIBE INCIBE root

References

1 reference

URL	Tags
https://www.incibe.es/en/incibe-cert/notices/avis…	patch

Impacted products

1 product

Vendor	Product	Version
Umami Software application	Umami Software	Affected: 3.0.2 (custom) cpe:2.3:a:umami_software_application:umami_software:3.0.2:::::::*

Credits

Hector Ruiz Ruiz & NaxusAI

Show details on NVD website

JSON

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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.