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CVE-1999-0392

5.0 · MEDIUM

Buffer overflow in Thomas Boutell's cgic library version up to 1.05.

Published Jan 10, 1999thomas_boutellEPSS 1.44%

Overview

CVE-1999-0392 is a medium-severity vulnerability affecting thomas_boutell cgic_library. It was published on January 10, 1999 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

Buffer overflow in Thomas Boutell's cgic library version up to 1.05.

Remediation

Check the references section for vendor advisories and patches from thomas_boutell. Update cgic_library 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
thomas_boutellcgic_library0Affected

Frequently asked questions

What is CVE-1999-0392?

CVE-1999-0392 is a medium-severity vulnerability affecting thomas_boutell cgic_library. It was published on January 10, 1999 and has a CVSS 2.0 base score of 5.0 (MEDIUM).

How severe is CVE-1999-0392?

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-1999-0392?

Check the references section for vendor advisories and patches from thomas_boutell. Update cgic_library 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-1999-0392?

CyberStrike is an open-source, AI-augmented pentesting engine. Rather than flag a version number, it tests whether an issue like CVE-1999-0392 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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