FKIE_CVE-2026-44969
Vulnerability from fkie_nvd - Published: 2026-07-16 18:16 - Updated: 2026-07-21 16:05
Severity
2.5 (Low) - CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N
3.3 (Low) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
3.3 (Low) - CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N
Summary
dbt-mcp is a Model Context Protocol server for interacting with dbt. Prior to 1.17.1, DbtMCP.call_tool() in src/dbt_mcp/mcp/server.py logged the raw arguments dictionary at INFO level before each tool call and at ERROR level on exceptions, and configure_file_logging() wrote those records to dbt-mcp.log when DBT_MCP_SERVER_FILE_LOGGING=true, preserving sensitive sql_query, vars, and node_selection values in plaintext without automatic rotation or deletion. This issue is fixed in version 1.17.1.
References
| URL | Tags | ||
|---|---|---|---|
| security-advisories@github.com | https://github.com/dbt-labs/dbt-mcp/commit/6534507b5e7a729758d5baece155602cad0bb22f | Patch | |
| security-advisories@github.com | https://github.com/dbt-labs/dbt-mcp/pull/752 | Issue Tracking, Patch | |
| security-advisories@github.com | https://github.com/dbt-labs/dbt-mcp/releases/tag/v1.17.1 | Release Notes | |
| security-advisories@github.com | https://github.com/dbt-labs/dbt-mcp/security/advisories/GHSA-7xgw-6qf3-7w59 | Exploit, Mitigation, Vendor Advisory | |
| 134c704f-9b21-4f2e-91b3-4a467353bcc0 | https://github.com/dbt-labs/dbt-mcp/security/advisories/GHSA-7xgw-6qf3-7w59 | Exploit, Mitigation, Vendor Advisory |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| getdbt | dbt_mcp_server | * |
{
"affected": [
{
"affectedData": [
{
"product": "dbt-mcp",
"vendor": "dbt-labs",
"versions": [
{
"status": "affected",
"version": "\u003c 1.17.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:getdbt:dbt_mcp_server:*:*:*:*:*:*:*:*",
"matchCriteriaId": "A1454B23-5F05-44AF-9A3F-B233CF1DC3E5",
"versionEndExcluding": "1.17.1",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "dbt-mcp is a Model Context Protocol server for interacting with dbt. Prior to 1.17.1, DbtMCP.call_tool() in src/dbt_mcp/mcp/server.py logged the raw arguments dictionary at INFO level before each tool call and at ERROR level on exceptions, and configure_file_logging() wrote those records to dbt-mcp.log when DBT_MCP_SERVER_FILE_LOGGING=true, preserving sensitive sql_query, vars, and node_selection values in plaintext without automatic rotation or deletion. This issue is fixed in version 1.17.1."
}
],
"id": "CVE-2026-44969",
"lastModified": "2026-07-21T16:05:03.330",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 2.5,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.0,
"impactScore": 1.4,
"source": "security-advisories@github.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 3.3,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.8,
"impactScore": 1.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2026-44969",
"options": [
{
"exploitation": "poc"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-07-17T17:18:39.143169Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-07-16T18:16:43.247",
"references": [
{
"source": "security-advisories@github.com",
"tags": [
"Patch"
],
"url": "https://github.com/dbt-labs/dbt-mcp/commit/6534507b5e7a729758d5baece155602cad0bb22f"
},
{
"source": "security-advisories@github.com",
"tags": [
"Issue Tracking",
"Patch"
],
"url": "https://github.com/dbt-labs/dbt-mcp/pull/752"
},
{
"source": "security-advisories@github.com",
"tags": [
"Release Notes"
],
"url": "https://github.com/dbt-labs/dbt-mcp/releases/tag/v1.17.1"
},
{
"source": "security-advisories@github.com",
"tags": [
"Exploit",
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/dbt-labs/dbt-mcp/security/advisories/GHSA-7xgw-6qf3-7w59"
},
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"tags": [
"Exploit",
"Mitigation",
"Vendor Advisory"
],
"url": "https://github.com/dbt-labs/dbt-mcp/security/advisories/GHSA-7xgw-6qf3-7w59"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-532"
}
],
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
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
| 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.
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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.
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