What is the CVSS score of CVE-2026-23529?

CVE-2026-23529 has a CVSS 3.1 base score of 7.7 (High). CVSS vector: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N. EPSS exploitation probability: 0.0%.

Which versions of Apache are affected by CVE-2026-23529?

Organizations using Kafka Connect BigQuery Connector face notable risk from CVE-2026-23529 rated CVSS 7.7. Exploitation could compromise the security of affected deployments.

How to fix or mitigate CVE-2026-23529?

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

Apache CVE-2026-23529

HIGH

External Control of File Name or Path (CWE-73)

2026-01-16 security-advisories@github.com

Apache SSRF

7.7

CVSS 3.1 · GitHub Advisory

Severity by source

GitHub Advisory PRIMARY

7.7 HIGH

AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N

Primary rating from GitHub Advisory · only source for this CVE.

CVSS VectorGitHub Advisory

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

Analysis Generated

Mar 12, 2026 - 21:54 vuln.today

CVE Published

Jan 16, 2026 - 17:15 nvd

HIGH 7.7

DescriptionGitHub Advisory

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.

AnalysisAI

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. No patch is currently available for affected Apache Kafka deployments.

Technical ContextAI

affects Kafka Connect BigQuery Connector is an implementation of a sink connector from Apache Kafka to Google BigQuery.. 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 extern