CVE-2026-23529

HIGH
2026-01-16 [email protected]
7.7
CVSS 3.1
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CVSS Vector

CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N
Attack Vector
Network
Attack Complexity
Low
Privileges Required
Low
User Interaction
None
Scope
Changed
Confidentiality
High
Integrity
None
Availability
None

Lifecycle Timeline

2
Analysis Generated
Mar 12, 2026 - 21:54 vuln.today
CVE Published
Jan 16, 2026 - 17:15 nvd
HIGH 7.7

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.

Analysis

Arbitrary file read vulnerability in Kafka Connect BigQuery Connector prior to version 2.11.0 allows authenticated attackers to read sensitive files by injecting malicious credential configurations through improperly validated credential_source parameters. An attacker with connector configuration privileges can exploit this to access arbitrary files on the system or perform server-side request forgery attacks against internal endpoints. …

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Remediation

Within 7 days: Identify all affected systems and apply vendor patches promptly. Monitor vendor channels for patch availability.

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Priority Score

39
Low Medium High Critical
KEV: 0
EPSS: +0.0
CVSS: +38
POC: 0

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CVE-2026-23529 vulnerability details – vuln.today

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