CVE-2026-29181
Description
A flaw was found in OpenTelemetry-Go, the Go implementation of OpenTelemetry. A remote attacker can exploit this vulnerability by sending multiple 'baggage' header lines. The system's independent parsing and aggregation of each header field-value across multiple values can lead to amplified CPU and memory allocations, resulting in a Denial of Service (DoS).
Statement
This is an Important denial of service vulnerability in OpenTelemetry-Go, affecting Red Hat Multicluster Engine for Kubernetes. A remote attacker can exploit this flaw by sending multiple crafted baggage HTTP header lines, leading to excessive CPU and memory consumption and potentially rendering services unavailable. This impact is significant due to the potential for widespread disruption in a multi-cluster environment.
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 | 7.5 | N/A | 7.5 |
| Attack Vector | Network | N/A | Network |
| Attack Complexity | Low | N/A | Low |
| Privileges Required | None | N/A | None |
| User Interaction | None | N/A | None |
| Scope | Unchanged | N/A | Unchanged |
| Confidentiality | None | N/A | None |
| Integrity Impact | None | N/A | None |
| Availability Impact | High | N/A | High |
Vector
Red Hat: CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
cve.org: CVSS:3.1/AV:N/AC:L/PR:N/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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