CVE-2026-19956
6.3 · MEDIUMA vulnerability has been found in gomarble-ai facebook-ads-mcp-server 0.1.0.
Overview
CVE-2026-19956 is a medium-severity vulnerability. It was published on August 16, 2026 and has a CVSS 3.1 base score of 6.3 (MEDIUM).
This vulnerability has a CVSS 3.1 base score of 6.3, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
Technical description
A vulnerability has been found in gomarble-ai facebook-ads-mcp-server 0.1.0. The impacted element is the function fetch_pagination_url of the file server.py. Such manipulation leads to server-side request forgery. The attack can be launched remotely. The name of the patch is 4e53875aa22e8991c2fa4a7660d86e1caba66659. Applying a patch is advised to resolve this issue.
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.
References
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Frequently asked questions
What is CVE-2026-19956?
CVE-2026-19956 is a medium-severity vulnerability. It was published on August 16, 2026 and has a CVSS 3.1 base score of 6.3 (MEDIUM).
How severe is CVE-2026-19956?
This vulnerability has a CVSS 3.1 base score of 6.3, rated MEDIUM. It can be exploited remotely over the network. Some level of privileges is required for exploitation.
How do I fix or remediate CVE-2026-19956?
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-2026-19956?
CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-19956 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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