CVE-2026-66072
Description
A flaw was found in RabbitMQ. An authenticated stream client with read access to any stream can exploit a vulnerability in the get_chunk_selector/1 function. This function processes a client-supplied chunk_selector property without proper validation, leading to an atom table exhaustion. Successful exploitation can cause the RabbitMQ broker node to crash, resulting in a Denial of Service (DoS).
Statement
Red Hat rates this flaw MODERATE in products that ship affected RabbitMQ builds. With the stream plugin enabled, an authenticated client with read access to a stream can supply a crafted chunk selector, exhaust the broker’s atom table, and crash the node.
Mitigation
Disable the stream plugin if unused, and restrict stream access to trusted clients.
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).
CVSS v3 Score Breakdown
| Red Hat | NVD | cve.org | |
|---|---|---|---|
| Base Score | 6.5 | N/A | N/A |
| Attack Vector | Network | N/A | N/A |
| Attack Complexity | Low | N/A | N/A |
| Privileges Required | Low | N/A | N/A |
| User Interaction | None | N/A | N/A |
| Scope | Unchanged | N/A | N/A |
| Confidentiality | None | N/A | N/A |
| Integrity Impact | None | N/A | N/A |
| Availability Impact | High | N/A | N/A |
Vector
Red Hat: 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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