2.5
LOW CVSS 3.1
CVE-2026-44969
dbt-mcp: Tool Arguments Including SQL Queries and Credentials Logged in Plaintext Without Redaction When File Logging Is Enabled
Description

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.

INFO

Published Date :

July 16, 2026, 6:16 p.m.

Last Modified :

July 16, 2026, 6:16 p.m.

Remotely Exploit :

No
Affected Products

The following products are affected by CVE-2026-44969 vulnerability. Even if cvefeed.io is aware of the exact versions of the products that are affected, the information is not represented in the table below.

No affected product recoded yet

CVSS Scores
The Common Vulnerability Scoring System is a standardized framework for assessing the severity of vulnerabilities in software and systems. We collect and displays CVSS scores from various sources for each CVE.
Score Version Severity Vector Exploitability Score Impact Score Source
CVSS 3.1 LOW [email protected]
CVSS 3.1 LOW MITRE-CVE
Solution
Update dbt-mcp to version 1.17.1 to prevent sensitive information logging.
  • Update dbt-mcp to version 1.17.1.
  • Review logging configurations for sensitive data.
  • Implement log rotation and deletion policies.
References to Advisories, Solutions, and Tools
CWE - Common Weakness Enumeration

While CVE identifies specific instances of vulnerabilities, CWE categorizes the common flaws or weaknesses that can lead to vulnerabilities. CVE-2026-44969 is associated with the following CWEs:

Common Attack Pattern Enumeration and Classification (CAPEC)

Common Attack Pattern Enumeration and Classification (CAPEC) stores attack patterns, which are descriptions of the common attributes and approaches employed by adversaries to exploit the CVE-2026-44969 weaknesses.

We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).

Results are limited to the first 15 repositories due to potential performance issues.

The following list is the news that have been mention CVE-2026-44969 vulnerability anywhere in the article.

The following table lists the changes that have been made to the CVE-2026-44969 vulnerability over time.

Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.

  • New CVE Received by [email protected]

    Jul. 16, 2026

    Action Type Old Value New Value
    Added Affected [{'vendor': 'dbt-labs', 'product': 'dbt-mcp', 'versions': [{'status': 'affected', 'version': '< 1.17.1'}]}]
    Added Description 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.
    Added CVSS V3.1 AV:L/AC:H/PR:L/UI:N/S:U/C:L/I:N/A:N
    Added CWE CWE-532
    Added Reference https://github.com/dbt-labs/dbt-mcp/commit/6534507b5e7a729758d5baece155602cad0bb22f
    Added Reference https://github.com/dbt-labs/dbt-mcp/pull/752
    Added Reference https://github.com/dbt-labs/dbt-mcp/releases/tag/v1.17.1
    Added Reference https://github.com/dbt-labs/dbt-mcp/security/advisories/GHSA-7xgw-6qf3-7w59
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days. Following chart shows the EPSS score history of the vulnerability.