CVE-2026-23529

Jan. 16, 2026, 5:15 p.m.

7.7
High

Description

Kafka Connect BigQuery Connector is an implementation of a sink connector from Apache Kafka to Google BigQuery. Prior to 2.11.0, there is an arbitrary file read in Google BigQuery Sink connector. Aiven's Google BigQuery Kafka Connect Sink connector requires Google Cloud credential configurations for authentication to BigQuery services. During connector configuration, users can supply credential JSON files that are processed by Google authentication libraries. The service fails to validate externally-sourced credential configurations before passing them to the authentication libraries. An attacker can exploit this by providing a malicious credential configuration containing crafted credential_source.file paths or credential_source.url endpoints, resulting in arbitrary file reads or SSRF attacks.

Product(s) Impacted

Vendor Product Versions
Aiven
  • Google Bigquery Kafka Connect Sink Connector
  • *
Apache
  • Kafka
  • *

Weaknesses

Common security weaknesses mapped to this vulnerability.

CWE-73
External Control of File Name or Path
The product allows user input to control or influence paths or file names that are used in filesystem operations.

*CPE(s)

Affected systems and software identified for this CVE.

Type Vendor Product Version Update Edition Language Software Edition Target Software Target Hardware Other Information
a aiven google_bigquery_kafka_connect_sink_connector / / / / / / / /
a apache kafka / / / / / / / /

CVSS Score

7.7 / 10

CVSS Data - 3.1

  • Attack Vector: NETWORK
  • Attack Complexity: LOW
  • Privileges Required: LOW
  • Scope: CHANGED
  • Confidentiality Impact: HIGH
  • Integrity Impact: NONE
  • Availability Impact: NONE
  • CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N

    View Vector String

Timeline

Published: Jan. 16, 2026, 5:15 p.m.
Last Modified: Jan. 16, 2026, 5:15 p.m.

Status : Received

CVE has been recently published to the CVE List and has been received by the NVD.

More info

*Disclaimer: Some vulnerabilities do not have an associated CPE. To enhance the data, we use AI to infer CPEs based on CVE details. This is an automated process and might not always be accurate.