CVE-2026-23529
Arbitrary File Read in Google BigQuery Sink connector
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.
Attack profile
How easy it is to exploit
- Attack vector
- Network
- Complexity
- Low
- Privileges needed
- Low
- User interaction
- None
What an attacker can affect
- Confidentiality
- High
- Integrity
- None
- Availability
- None
Exploit likelihood
What each source reports
CVE List Score used
Arbitrary File Read in Google BigQuery Sink connector
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.
- Record
CVE-2026-23529- CVSS 3.1
- 7.7 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N - Weakness
- CWE-73, CWE-918
- Updated
- 2026-11-02
EUVDEUVD-2026-3124
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.
- Record
EUVD-2026-3124- CVSS 3.1
- 7.7 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N - Updated
- 2026-11-02
NVD
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.
- Record
CVE-2026-23529- CVSS 3.1
- 7.7 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N - Weakness
- CWE-73, CWE-918
- Updated
- 2026-11-02
OSV
Arbitrary File Read in Google BigQuery Sink connector
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.
- Record
CVE-2026-23529- CVSS 3.1
- 7.7 High
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N - Weakness
- CWE-73, CWE-918
- Updated
- 2026-11-02
Affected products
History
| Recorded | Changed | Sources |
|---|---|---|
| first indexed | CVE List, EUVD, NVD, OSV |
Dates are when Every CVE recorded each change. Upstream dates may differ.
In short
CVE-2026-23529 is a high vulnerability (CVSS 7.7) in Aiven-open Bigquery-connector-for-apache-kafka, published January 16, 2026. No source lists public exploit code. EPSS puts the chance of exploitation in the next 30 days at 0.41%, the 35th percentile. No source names a fixed version.
References
github.com/Aiven-Open/bigquery-connector-for-apache-kafka/security/advisories/GHSA-3mg8-2g53-5gj4
docs.cloud.google.com/support/bulletins
nvd.nist.gov/vuln/detail/CVE-2026-23529