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CVE-2019-17566

7.5 · HIGH

Apache Batik is vulnerable to server-side request forgery, caused by improper input validation by the "xlink:href" attributes.

Published Nov 12, 2020CWE-918EPSS 10.87%

Overview

CVE-2019-17566 is a high-severity vulnerability. It was published on November 12, 2020 and has a CVSS 3.1 base score of 7.5 (HIGH).

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

Apache Batik is vulnerable to server-side request forgery, caused by improper input validation by the "xlink:href" attributes. By using a specially-crafted argument, an attacker could exploit this vulnerability to cause the underlying server to make arbitrary GET requests.

Remediation

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

Frequently asked questions

What is CVE-2019-17566?

CVE-2019-17566 is a high-severity vulnerability. It was published on November 12, 2020 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2019-17566?

This vulnerability has a CVSS 3.1 base score of 7.5, rated HIGH. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2019-17566?

Check the references section for vendor advisories, patches, and mitigation guidance. If immediate patching is not possible, review the CVSS vector to understand the attack surface and apply compensating controls such as network segmentation or access restrictions.

How can CyberStrike help with CVE-2019-17566?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2019-17566 is actually reachable in your own applications and APIs, then verifies each finding before reporting it. That tells you if the weakness is a real, exploitable risk in your environment or a false positive you can safely deprioritize.

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