Skip to main content

Over 150 LLM Providers · Over 5,300 Models The most extensible AI-powered pentesting platform. Open source. Star on GitHub

CVE-2022-30591

7.5 · HIGH
Published Jul 6, 2022 quic-go_project CWE-400 EPSS 2.95% (86th pctl)

Overview

CVE-2022-30591 is a high-severity vulnerability affecting quic-go_project quic-go. It was published on July 6, 2022 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

quic-go through 0.27.0 allows remote attackers to cause a denial of service (CPU consumption) via a Slowloris variant in which incomplete QUIC or HTTP/3 requests are sent. This occurs because mtu_discoverer.go misparses the MTU Discovery service and consequently overflows the probe timer. NOTE: the vendor's position is that this behavior should not be listed as a vulnerability on the CVE List

Remediation

Check the references section for vendor advisories and patches from quic-go_project. Update quic-go 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

Vendor Product Versions Status
quic-go_project quic-go 0 Affected

Frequently Asked Questions

What is CVE-2022-30591?

CVE-2022-30591 is a high-severity vulnerability affecting quic-go_project quic-go. It was published on July 6, 2022 and has a CVSS 3.1 base score of 7.5 (HIGH).

How severe is CVE-2022-30591?

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-2022-30591?

Check the references section for vendor advisories and patches from quic-go_project. Update quic-go 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-2022-30591?

CyberStrike's AI-powered security agents can automatically detect CVE-2022-30591 across your infrastructure using autonomous pentesting, DAST scanning, and HackBrowser. The platform continuously monitors for known vulnerabilities and provides actionable remediation guidance prioritized by real-world exploitability.