CVE-2026-116337

Description

A flaw was found in Qt. The HTTP response handling mechanism within the Qt Network module fails to properly manage resource allocation when processing incoming server responses. A remote attacker or malicious server can exploit this vulnerability by sending a specially crafted HTTP response, causing excessive resource consumption that may lead to a denial of service (DoS).

Statement

An uncontrolled resource consumption flaw in the Qt Network module allows a remote attacker or malicious HTTP server to exhaust system resources and cause a denial of service by delivering a specially crafted HTTP response.

Mitigation

Ensure client applications only connect to trusted HTTP endpoints and restrict maximum allowed response headers and body buffer sizes in application network settings where supported.

Common Vulnerability Scoring System (CVSS) Score Details

Info alert:Important note

CVSS scores for open source components depend on vendor-specific factors (e.g. version or build chain). Therefore, Red Hat's score and impact rating can be different from NVD and other vendors. Red Hat remains the authoritative CVE Naming Authority (CNA) source for its products and services (see Red Hat classifications).

The following CVSS metrics and score provided are preliminary and subject to review.

CVSS v3 Score Breakdown

Red HatNVDcve.org
Base Score4.3N/AN/A
Attack VectorNetworkN/AN/A
Attack ComplexityLowN/AN/A
Privileges RequiredNoneN/AN/A
User InteractionRequiredN/AN/A
ScopeUnchangedN/AN/A
ConfidentialityNoneN/AN/A
Integrity ImpactNoneN/AN/A
Availability ImpactLowN/AN/A

Vector

Red Hat: CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:N/I:N/A:L

Understanding the Weakness (CWE)

Availability

Technical Impact: DoS: Resource Consumption (CPU); DoS: Resource Consumption (Memory); DoS: Resource Consumption (Other)

When allocating resources without limits, an attacker could prevent other systems, applications, or processes from accessing the same type of resource. It can be easy for an attacker to consume many resources by rapidly making many requests or causing larger resources to be used than is needed.

Frequently Asked Questions

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