dbt-labs dbt-mcp up to 1.17.0 Usage Tracker tracking.py DefaultUsageTracker.emit_tool_called_event sql_query/vars/build/test/node_selection deserialization

CVSS Meta Temp Score
CVSS is a standardized scoring system to determine possibilities of attacks. The Temp Score considers temporal factors like disclosure, exploit and countermeasures. The unique Meta Score calculates the average score of different sources to provide a normalized scoring system.
Current Exploit Price (≈)
Our analysts are monitoring exploit markets and are in contact with vulnerability brokers. The range indicates the observed or calculated exploit price to be seen on exploit markets. A good indicator to understand the monetary effort required for and the popularity of an attack.
CTI Interest Score
Our Cyber Threat Intelligence team is monitoring different web sites, mailing lists, exploit markets and social media networks. The CTI Interest Score identifies the interest of attackers and the security community for this specific vulnerability in real-time. A high score indicates an elevated risk to be targeted for this vulnerability.
5.1$0-$5k0.70+

Summaryinfo

A vulnerability was found in dbt-labs dbt-mcp up to 1.17.0. It has been rated as problematic. This issue affects the function DefaultUsageTracker.emit_tool_called_event of the file src/dbt_mcp/tracking/tracking.py of the component Usage Tracker. This manipulation of the argument sql_query/vars/build/test/node_selection causes deserialization. This vulnerability appears as CVE-2026-44970. The attack may be initiated remotely. There is no available exploit.

Detailsinfo

A vulnerability classified as problematic was found in dbt-labs dbt-mcp up to 1.17.0. Affected by this vulnerability is the function DefaultUsageTracker.emit_tool_called_event of the file src/dbt_mcp/tracking/tracking.py of the component Usage Tracker. The manipulation of the argument sql_query/vars/build/test/node_selection with an unknown input leads to a deserialization vulnerability. The CWE definition for the vulnerability is CWE-502. The product deserializes untrusted data without sufficiently verifying that the resulting data will be valid. As an impact it is known to affect confidentiality. The summary by CVE is:

dbt-mcp is a Model Context Protocol server for interacting with dbt. Prior to 1.17.1, DefaultUsageTracker.emit_tool_called_event() in src/dbt_mcp/tracking/tracking.py serialized every MCP tool call's complete arguments dictionary and sent it through dbtlabs_vortex.producer.log_proto without redaction, including sql_query from show, vars from run, build, and test, and node_selection from compile, while usage_tracking_enabled in settings.py enabled telemetry by default unless DBT_SEND_ANONYMOUS_USAGE_STATS=false or DO_NOT_TRACK=1 was set. This issue is fixed in version 1.17.1.

It is possible to read the advisory at github.com. This vulnerability is known as CVE-2026-44970 since 05/08/2026. The exploitation appears to be easy. The attack can be launched remotely. The exploitation doesn't need any form of authentication. Technical details of the vulnerability are known, but there is no available exploit.

Upgrading to version 1.17.1 eliminates this vulnerability.

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Productinfo

Type

Vendor

Name

Version

Website

CPE 2.3info

CPE 2.2info

CVSSv4info

VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv3info

VulDB Meta Base Score: 5.3
VulDB Meta Temp Score: 5.1

VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍

CVSSv2info

AVACAuCIA
💳💳💳💳💳💳
💳💳💳💳💳💳
💳💳💳💳💳💳
VectorComplexityAuthenticationConfidentialityIntegrityAvailability
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock
UnlockUnlockUnlockUnlockUnlockUnlock

VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍

Exploitinginfo

Class: Deserialization
CWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒

Physical: No
Local: No
Remote: Yes

Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒

0-DayUnlockUnlockUnlockUnlock
TodayUnlockUnlockUnlockUnlock

Threat Intelligenceinfo

Interest: 🔍
Active Actors: 🔍
Active APT Groups: 🔍

Countermeasuresinfo

Recommended: no mitigation known
Status: 🔍

0-Day Time: 🔒

Upgrade: dbt-mcp 1.17.1

Timelineinfo

05/08/2026 CVE reserved
07/16/2026 +69 days Advisory disclosed
07/16/2026 +0 days VulDB entry created
07/16/2026 +0 days VulDB entry last update

Sourcesinfo

Product: github.com

Advisory: github.com
Status: Confirmed

CVE: CVE-2026-44970 (🔒)
GCVE (CVE): GCVE-0-2026-44970
GCVE (VulDB): GCVE-100-379603

Entryinfo

Created: 07/16/2026 20:16
Changes: 07/16/2026 20:16 (57)
Complete: 🔍
Cache ID: 216::103

Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.

Discussion

No comments yet. Languages: en.

Please log in to comment.

Might our Artificial Intelligence support you?

Check our Alexa App!