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CVE-2000-0619

5.0 · MEDIUM

Top Layer AppSwitch 2500 allows remote attackers to cause a denial of service via malformed ICMP packets.

Published Jul 19, 2000toplayerEPSS 1.68%

Overview

CVE-2000-0619 is a medium-severity vulnerability affecting toplayer appswitch. It was published on July 19, 2000 and has a CVSS 2.0 base score of 5.0 (MEDIUM).

This vulnerability has a CVSS 2.0 base score of 5.0, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

Technical description

Top Layer AppSwitch 2500 allows remote attackers to cause a denial of service via malformed ICMP packets.

Remediation

Check the references section for vendor advisories and patches from toplayer. Update appswitch to the latest patched version. 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.

Affected products

VendorProductVersionsStatus

Frequently asked questions

What is CVE-2000-0619?

CVE-2000-0619 is a medium-severity vulnerability affecting toplayer appswitch. It was published on July 19, 2000 and has a CVSS 2.0 base score of 5.0 (MEDIUM).

How severe is CVE-2000-0619?

This vulnerability has a CVSS 2.0 base score of 5.0, rated MEDIUM. It can be exploited remotely over the network. No authentication or special privileges are required for exploitation.

How do I fix or remediate CVE-2000-0619?

Check the references section for vendor advisories and patches from toplayer. Update appswitch to the latest patched version. 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-2000-0619?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-2000-0619 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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