The Apache Airflow Teradata provider's compute-cluster example Dag declared every one of its Dag Params as unconstrained free text and templated them straight into the compute-cluster operators, which interpolate those values into Teradata DDL. A user who is permitted to trigger that Dag - a lower-trust role than the Dag author, and one that needs no Teradata credentials of its own - could therefore supply SQL fragments that execute under the connection the task runs as, and could additionally redirect the task at any other connection defined in the deployment, because the connection id was itself a free-text Param. Only deployments that run this example Dag, or a Dag copied from it, are affected; the provider's operator code is unchanged. Users of apache-airflow-providers-teradata are recommended to upgrade to version 3.7.0 or later, whose example constrains the Params to validated identifiers and a closed value set and removes connection selection and free-form option strings from trigger-time input. Upgrading does not change a Dag already copied from the example; users who copied it should apply the same constraints to their copy.
Apache Airflow's Teradata provider embedded cloud storage credentials directly into SQL statements. S3ToTeradataOperator and AzureBlobStorageToTeradataOperator interpolate the source bucket's credentials as plain string literals into the CREATE MULTISET TABLE ... LOCATION statement whenever the bucket is private and no teradataauthorizationname is configured — which is the default credential path for both operators. The statement is then logged and executed, so the credentials reach two places outside the operator's control.
The two operators expose different credentials through different channels, and deployments should check both. S3ToTeradataOperator takes its values from s3hook.getcredentials(), which under an instance profile or IRSA returns runtime AWS credentials that were never registered with Airflow's secrets masker — and the STS session token is runtime-generated and therefore unmasked even when an AWS connection is configured. Those credentials appear in the Airflow task log, readable by any user with log-view permission on the Dag. AzureBlobStorageToTeradataOperator takes its storage account key from the connection, so the masker usually redacts the task-log copy; its exposure is the Teradata side. Both operators write the credentials into Teradata's DBQL query logs and live monitoring views, where Airflow's masking never applies and the values persist for that system's log retention period.
Affects deployments using either operator against a private bucket or container without a Teradata AUTHORIZATION object. Users are advised to upgrade to apache-airflow-providers-teradata 3.7.0 or later, which keeps the credential-bearing statement out of the Airflow task log. Upgrading does not remove the credentials from Teradata's query logs and monitoring views, which Airflow cannot redact: users should configure teradataauthorizationname with a Teradata AUTHORIZATION object so that credentials are never inlined, and should rotate any credentials previously used through the inline path.
Severity: low
Affected versions:
- Apache Airflow Teradata provider before 3.7.0
Description:
The Apache Airflow Teradata provider's compute-cluster example Dag declared every one of its Dag Params as unconstrained free text and templated them straight into the compute-cluster operators, which interpolate those values into Teradata DDL. A user who is permitted to trigger that Dag - a lower-trust role than the Dag author, and one that needs no Teradata credentials of its own - could therefore supply SQL fragments that execute under the connection the task runs as, and could additionally redirect the task at any other connection defined in the deployment, because the connection id was itself a free-text Param. Only deployments that run this example Dag, or a Dag copied from it, are affected; the provider's operator code is unchanged. Users of apache-airflow-providers-teradata are recommended to upgrade to version 3.7.0 or later, whose example constrains the Params to validated identifiers and a closed value set and removes connection selection and free-form option strings from trigger-time input. Upgrading does not change a Dag already copied from the example; users who copied it should apply the same constraints to their copy.
Credit:
Andrew Rukin (Arenadata) (finder) Jarek Potiuk (remediation developer)
References:
https://github.com/apache/airflow/pull/72714 https://airflow.apache.org/ https://www.cve.org/CVERecord?id=CVE-2026-86843
Severity: moderate
Affected versions:
- Apache Airflow Teradata provider before 3.7.0
Description:
Apache Airflow's Teradata provider embedded cloud storage credentials directly into SQL statements. S3ToTeradataOperator and AzureBlobStorageToTeradataOperator interpolate the source bucket's credentials as plain string literals into the CREATE MULTISET TABLE ... LOCATION statement whenever the bucket is private and no teradataauthorizationname is configured — which is the default credential path for both operators. The statement is then logged and executed, so the credentials reach two places outside the operator's control.
The two operators expose different credentials through different channels, and deployments should check both. S3ToTeradataOperator takes its values from s3hook.getcredentials(), which under an instance profile or IRSA returns runtime AWS credentials that were never registered with Airflow's secrets masker — and the STS session token is runtime-generated and therefore unmasked even when an AWS connection is configured. Those credentials appear in the Airflow task log, readable by any user with log-view permission on the Dag. AzureBlobStorageToTeradataOperator takes its storage account key from the connection, so the masker usually redacts the task-log copy; its exposure is the Teradata side. Both operators write the credentials into Teradata's DBQL query logs and live monitoring views, where Airflow's masking never applies and the values persist for that system's log retention period.
Affects deployments using either operator against a private bucket or container without a Teradata AUTHORIZATION object. Users are advised to upgrade to apache-airflow-providers-teradata 3.7.0 or later, which keeps the credential-bearing statement out of the Airflow task log. Upgrading does not remove the credentials from Teradata's query logs and monitoring views, which Airflow cannot redact: users should configure teradataauthorizationname with a Teradata AUTHORIZATION object so that credentials are never inlined, and should rotate any credentials previously used through the inline path.
Credit:
Claude Security Scans (tool) Jarek Potiuk (remediation developer)
References:
https://github.com/apache/airflow/pull/72176 https://airflow.apache.org/ https://www.cve.org/CVERecord?id=CVE-2026-81862