CVE-2026-81862
Received Received - Intake

Hard-Coded Credentials in Apache Airflow Teradata Provider

Vulnerability report for CVE-2026-81862, including description, CVSS score, EPSS score, affected products, exploitability, helpful resources, and attack-flow context.

Publication date: 2026-09-29

Last updated on: 2026-09-29

Assigner: Apache Software Foundation

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 `teradata_authorization_name` is configured β€” 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 `s3_hook.get_credentials()`, which under an instance profile or IRSA returns runtime AWS credentials that were never registered with Airflow's secrets masker β€” 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 `teradata_authorization_name` with a Teradata `AUTHORIZATION` object so that credentials are never inlined, and should rotate any credentials previously used through the inline path.

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Meta Information

Published
2026-09-29
Last Modified
2026-09-29
Generated
2026-09-29
AI Q&A
2026-09-29
EPSS Evaluated
N/A
NVD
EUVD

Affected Vendors & Products

Showing 2 associated CPEs
Vendor Product Version / Range
apache airflow_providers_teradata 3.7.0
apache apache_airflow_providers_teradata From 3.7.0 (inc)

Helpful Resources

Exploitability

CWE
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KEV
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CWE ID Description
CWE-532 The product writes sensitive information to a log file.

Attack-Flow Graph

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Executive Summary

This vulnerability involves Apache Airflow's Teradata provider operators embedding cloud storage credentials directly into SQL statements. The S3ToTeradataOperator and AzureBlobStorageToTeradataOperator interpolate credentials as plain text into CREATE MULTISET TABLE statements when buckets are private and no teradata_authorization_name is set. These credentials then appear in Airflow task logs and Teradata's query logs, persisting for the system's log retention period.

Detection Guidance

Check Airflow task logs for plaintext credentials in SQL statements related to S3ToTeradataOperator or AzureBlobStorageToTeradataOperator. Inspect Teradata DBQL query logs and monitoring views for exposed credentials. Verify if teradata_authorization_name is configured to avoid inline credential embedding.

Impact Analysis

Credentials exposed in Airflow task logs can be read by any user with log-view permissions. Credentials in Teradata's DBQL logs and monitoring views remain visible to database administrators. Attackers with access to these logs could misuse the exposed credentials to access cloud storage or databases.

Compliance Impact

This vulnerability likely violates GDPR and HIPAA due to unauthorized exposure of sensitive credentials. GDPR requires protection of personal data, while HIPAA mandates safeguarding protected health information. Exposed credentials could lead to data breaches, triggering compliance violations and potential penalties.

Mitigation Strategies

Upgrade to apache-airflow-providers-teradata 3.7.0 or later. Configure teradata_authorization_name with a Teradata AUTHORIZATION object to store credentials securely. Rotate any credentials previously exposed through inline SQL statements.

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