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 | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.1 | $0-$5k | 0.70+ |
Summary
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.
Details
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.
Product
Type
Vendor
Name
Version
Website
- Product: https://github.com/dbt-labs/dbt-mcp/
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔒VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.3VulDB Meta Temp Score: 5.1
VulDB Base Score: 5.3
VulDB Temp Score: 5.1
VulDB Vector: 🔒
VulDB Reliability: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔒
VulDB Temp Score: 🔒
VulDB Reliability: 🔍
Exploiting
Class: DeserializationCWE: CWE-502 / CWE-20
CAPEC: 🔒
ATT&CK: 🔒
Physical: No
Local: No
Remote: Yes
Availability: 🔒
Status: Not defined
Price Prediction: 🔍
Current Price Estimation: 🔒
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔒
Upgrade: dbt-mcp 1.17.1
Timeline
05/08/2026 CVE reserved07/16/2026 Advisory disclosed
07/16/2026 VulDB entry created
07/16/2026 VulDB entry last update
Sources
Product: github.comAdvisory: github.com
Status: Confirmed
CVE: CVE-2026-44970 (🔒)
GCVE (CVE): GCVE-0-2026-44970
GCVE (VulDB): GCVE-100-379603
Entry
Created: 07/16/2026 20:16Changes: 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.
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