Arbitrary File Read in Google BigQuery Sink connector
21Vexday Risk Score
No sign of exploitation. No public exploitation artifact known so far.
ssvc Trackcvss 7.7epss 0.4%
exploitation probability
0.4%top 65% of all CVEs
observed exploitation
nono source reports it
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.
CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N
Affected products
Aiven-Open · bigquery-connector-for-apache-kafkaReferences
https://docs.cloud.google.com/support/bulletins#gcp-2025-005https://github.com/Aiven-Open/bigquery-connector-for-apache-kafka/commit/20ea3921c6fe72d605a033c1943b20f49eaba981https://github.com/Aiven-Open/bigquery-connector-for-apache-kafka/releases/tag/v2.11.0https://github.com/Aiven-Open/bigquery-connector-for-apache-kafka/security/advisories/GHSA-3mg8-2g53-5gj4