Arbitrary File Read in Google BigQuery Sink connector
Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| Aiven-Open | bigquery-connector-for-apache-kafka | affected |
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No data.
No data.
| Vendor | Product | Versions |
|---|---|---|
| Aiven | Bigquery-connector-for-apache-kafka | — |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.408% probability within 30 days)
| Type | Values Removed | Values Added |
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| First Time appeared |
Aiven
Aiven bigquery-connector-for-apache-kafka |
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| Vendors & Products |
Aiven
Aiven bigquery-connector-for-apache-kafka |
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
ssvc
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| Type | Values Removed | Values Added |
|---|---|---|
| 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. | |
| Title | Arbitrary File Read in Google BigQuery Sink connector | |
| Weaknesses | CWE-73 CWE-918 |
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| References |
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| Metrics |
cvssV3_1
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