CVE-2026-66277

Description

A flaw was found in Apache Qpid Proton-J. An authenticated attacker could exploit this by sending an excessive number of transfer frames, leading to uncontrolled resource usage and a potential denial of service (DoS). This vulnerability arises because the system does not properly govern the maximum number of transfer frames per incoming delivery.

Statement

Red Hat products that ship Apache Qpid Proton-J version 0.34.1 are affected by this denial of service vulnerability. An authenticated attacker can send excessive transfer frames to cause resource exhaustion. The impact is assessed as Moderate as it requires authentication and results in denial of service only.

Mitigation

Upgrade to Apache Qpid Proton-J version 0.35 or later.

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 Score6.5N/A6.5
Attack VectorNetworkN/ANetwork
Attack ComplexityLowN/ALow
Privileges RequiredLowN/ALow
User InteractionNoneN/ANone
ScopeUnchangedN/AUnchanged
ConfidentialityNoneN/ANone
Integrity ImpactNoneN/ANone
Availability ImpactHighN/AHigh

Vector

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

cve.org: CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:N/A:H

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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