Axios 0.32/1.16: IPv4mapped IPv6 NO_PROXY bypass issue
CVE-2026-44492 Published on June 11, 2026

Axios: shouldBypassProxy does not recognize IPv4-mapped IPv6 addresses, allowing NO_PROXY bypass (incomplete fix for CVE-2025-62718)
Axios is a promise based HTTP client for the browser and Node.js. Prior to 0.32.0 and 1.16.0, Axios does not normalise IPv4-mapped IPv6 addresses. When NO_PROXY lists an IPv4 address such as 127.0.0.1 or 169.254.169.254, a request URL using the IPv4-mapped IPv6 form (::ffff:7f00:1, ::ffff:a9fe:a9fe) still routes through the configured proxy. Node.js resolves these addresses to the underlying IPv4 host, so the request reaches the internal service via the proxy rather than being blocked. This vulnerability is fixed in 0.32.0 and 1.16.0.

NVD

Vulnerability Analysis

CVE-2026-44492 is exploitable with network access, and does not require authorization privileges or user interaction. This vulnerability is considered to have a low attack complexity. An automatable proof of concept (POC) exploit exists. The potential impact of an exploit of this vulnerability is considered to have a high impact on confidentiality, with no impact on integrity and availability.

Attack Vector:
NETWORK
Attack Complexity:
LOW
Privileges Required:
NONE
User Interaction:
NONE
Scope:
CHANGED
Confidentiality Impact:
HIGH
Integrity Impact:
NONE
Availability Impact:
NONE

Weakness Types

What is a SSRF Vulnerability?

The web server receives a URL or similar request from an upstream component and retrieves the contents of this URL, but it does not sufficiently ensure that the request is being sent to the expected destination. By providing URLs to unexpected hosts or ports, attackers can make it appear that the server is sending the request, possibly bypassing access controls such as firewalls that prevent the attackers from accessing the URLs directly. The server can be used as a proxy to conduct port scanning of hosts in internal networks, use other URLs such as that can access documents on the system (using file://), or use other protocols such as gopher:// or tftp://, which may provide greater control over the contents of requests.

CVE-2026-44492 has been classified to as a SSRF vulnerability or weakness.

Authentication Bypass by Alternate Name

The software performs authentication based on the name of a resource being accessed, or the name of the actor performing the access, but it does not properly check all possible names for that resource or actor.


Products Associated with CVE-2026-44492

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Affected Versions

axios: Red Hat Advanced Cluster Management for Kubernetes 2.13: Red Hat Advanced Cluster Security for Kubernetes 4.10: Red Hat Advanced Cluster Security for Kubernetes 4.9: Red Hat Container Native Virtualization 4.13: Red Hat Container Native Virtualization 4.14: Red Hat Developer Hub 1.9: Red Hat Discovery 2: Red Hat OpenShift Container Platform 4.15: Red Hat OpenShift Container Platform 4.16: Red Hat OpenShift Container Platform 4.20: Red Hat OpenShift Container Platform 4.21: Red Hat OpenShift Service Mesh 2.6: Red Hat OpenShift Service Mesh 3.0: Red Hat OpenShift Service Mesh 3.1: Red Hat OpenShift Service Mesh 3.2: Red Hat OpenShift Service Mesh 3.3: Red Hat multicluster engine for Kubernetes 2.8: Red Hat Cryostat 4: Red Hat Migration Toolkit for Applications 8: Red Hat Migration Toolkit for Containers: Red Hat Network Observability Operator: Red Hat OpenShift Pipelines: Red Hat AMQ Broker 7: Red Hat Ansible Automation Platform 2: Red Hat build of Apache Camel - HawtIO 4: Red Hat build of Apicurio Registry 3: Red Hat Build of Podman Desktop - Tech Preview: Red Hat Data Grid 8: Red Hat Enterprise Linux AI (RHEL AI) 3: Red Hat Fuse 7: Red Hat OpenShift AI (RHOAI): Red Hat OpenShift Container Platform 4: Red Hat OpenShift Dev Spaces: Red Hat OpenShift Virtualization 4: Red Hat Quay 3: Red Hat Trusted Artifact Signer: Red Hat Trusted Profile Analyzer: Red Hat Self-service automation portal 2: Red Hat Gatekeeper 3: Red Hat OpenShift Service Mesh 3: Red Hat 3scale API Management Platform 2: Red Hat build of Apache Camel for Spring Boot 4: Red Hat Enterprise Linux 8: Red Hat Enterprise Linux 9: Red Hat Satellite 6:

Exploit Probability

EPSS
0.44%
Percentile
35.15%

EPSS (Exploit Prediction Scoring System) scores estimate the probability that a vulnerability will be exploited in the wild within the next 30 days. The percentile shows you how this score compares to all other vulnerabilities.