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CVE-2026-102363

3.7 · LOW

mall4j through 4.0 contains a missing authentication vulnerability in the DeliveryController checkDelivery endpoint that allows unauthenticated attackers to read shipment tracking information by su…

Published Sep 29, 2026CWE-306EPSS 0.27%

Overview

CVE-2026-102363 is a low-severity vulnerability. It was published on September 29, 2026 and has a CVSS 3.1 base score of 3.7 (LOW).

This vulnerability has a CVSS 3.1 base score of 3.7, rated LOW. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

mall4j through 4.0 contains a missing authentication vulnerability in the DeliveryController checkDelivery endpoint that allows unauthenticated attackers to read shipment tracking information by supplying an order number parameter. Attackers can access carrier names, waybill numbers, and complete logistics trails for any order without authentication or ownership verification.

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-2026-102363?

CVE-2026-102363 is a low-severity vulnerability. It was published on September 29, 2026 and has a CVSS 3.1 base score of 3.7 (LOW).

How severe is CVE-2026-102363?

This vulnerability has a CVSS 3.1 base score of 3.7, rated LOW. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2026-102363?

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-2026-102363?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2026-102363 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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