Axios <1.15.0 Prototype Pollution RCE via Gadget Attack
CVE-2026-40175 Published on April 10, 2026

Axios has Unrestricted Cloud Metadata Exfiltration via Header Injection Chain
Axios is a promise based HTTP client for the browser and Node.js. Versions prior to 1.15.0 and 0.3.1 are vulnerable to a specific gadget-style attack chain in which prototype pollution in a third-party dependency may be leveraged to inject unsanitized header values into outbound requests. This vulnerability is fixed in 1.15.0 and 0.3.1.

NVD

Vulnerability Analysis

CVE-2026-40175 can be exploited with network access, and does not require authorization privileges or user interaction. This vulnerability is consided to have a high level of attack complexity. Public availability of a proof of concept (POC) exploit exists for CVE-2026-40175. The potential impact of an exploit of this vulnerability is considered to be critical as this vulnerability has a high impact to the confidentiality, integrity and availability of this component.

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

Weakness Types

What is a HTTP Response Splitting Vulnerability?

The software receives data from an upstream component, but does not neutralize or incorrectly neutralizes CR and LF characters before the data is included in outgoing HTTP headers.

CVE-2026-40175 has been classified to as a HTTP Response Splitting vulnerability or weakness.

What is a HTTP Request Smuggling Vulnerability?

When malformed or abnormal HTTP requests are interpreted by one or more entities in the data flow between the user and the web server, such as a proxy or firewall, they can be interpreted inconsistently, allowing the attacker to "smuggle" a request to one device without the other device being aware of it.

CVE-2026-40175 has been classified to as a HTTP Request Smuggling vulnerability or weakness.

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-2026-40175 has been classified to as a SSRF vulnerability or weakness.

What is a Mass Assignment Vulnerability?

The software receives input from an upstream component that specifies multiple attributes, properties, or fields that are to be initialized or updated in an object, but it does not properly control which attributes can be modified.

CVE-2026-40175 has been classified to as a Mass Assignment vulnerability or weakness.


Products Associated with CVE-2026-40175

You can be notified by email with stack.watch whenever vulnerabilities like CVE-2026-40175 are published in these products:

Axios
 
Red Hat Kafka
 
Red Hat Ansible Automation Platform
 
Red Hat Ansible Automation Platform Developer
 
Red Hat Ansible Automation Platform Inside
 
Red Hat Network Observ Optr
 
Red Hat Acm
 
Red Hat Advanced Cluster Security
 
Red Hat Rhdh
 
Red Hat Discovery
 
Red Hat Rhmt
 
Red Hat Openshift Ai
 
Red Hat Openshift
 
Red Hat Openshift Devspaces
 
Red Hat Service Mesh
 
Red Hat Satellite
 
Red Hat Trusted Artifact Signer
 
Red Hat Amq Streams
 
Red Hat Multicluster Engine
 
Red Hat Migration Toolkit Applications
 
Red Hat Openshift Pipelines
 
Red Hat Apache Camel Hawtio
 
Red Hat Service Registry
 
Red Hat Apicurio Registry
 
Red Hat Podman Desktop
 
Red Hat Jboss Fuse
 
Red Hat Container Native Virtualization
 
Red Hat Trusted Profile Analyzer
 
Red Hat Cryostat
 
Red Hat Gatekeeper
 
Red Hat Logging
 
Red Hat 3scale Amp
 
Red Hat Kueue Operator
 
Red Hat Jboss Data Grid
 
Red Hat Enterprise Linux (RHEL)
 
Red Hat Enterprise Linux Ai
 
Red Hat Jboss Enterprise Bpms Platform
 
Red Hat Quay
 
Red Hat Ansible Portal
 

Affected Versions

axios: Siemens gWAP: Red Hat Ansible Automation Platform 2.6 for RHEL 9: Red Hat Streams for Apache Kafka 3.2.0: Red Hat multicluster engine for Kubernetes 2.10: Red Hat multicluster engine for Kubernetes 2.6: Red Hat multicluster engine for Kubernetes 2.8: Red Hat multicluster engine for Kubernetes 2.9: Red Hat Network Observability (NETOBSERV) 1.11.2: Red Hat Network Observability (NETOBSERV) 1.11.2: Red Hat Advanced Cluster Management for Kubernetes 2.14: Red Hat Advanced Cluster Management for Kubernetes 2.15: Red Hat Advanced Cluster Security for Kubernetes 4.9: Red Hat Developer Hub 1.8: Red Hat Developer Hub 1.9: Red Hat Discovery 2: Red Hat Migration Toolkit 1.8: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift AI 3.3: Red Hat OpenShift Container Platform 4.14: Red Hat OpenShift Container Platform 4.15: Red Hat OpenShift Container Platform 4.16: Red Hat OpenShift Container Platform 4.19: Red Hat OpenShift Container Platform 4.20: Red Hat OpenShift Container Platform 4.20: Red Hat OpenShift Container Platform 4.21: Red Hat OpenShift Container Platform 4.21: Red Hat OpenShift Dev Spaces 3.27: Red Hat OpenShift Dev Spaces 3.27: Red Hat OpenShift Service Mesh 2.6: Red Hat OpenShift Service Mesh 2.6: Red Hat OpenShift Service Mesh 3: Red Hat OpenShift Service Mesh 3: Red Hat OpenShift Service Mesh 3.1: Red Hat OpenShift Service Mesh 3.1: Red Hat OpenShift Service Mesh 3.2: Red Hat OpenShift Service Mesh 3.2: Red Hat OpenShift Service Mesh 3.3: Red Hat OpenShift Service Mesh 3.3: Red Hat Satellite 6.18: Red Hat Satellite 6.18: Red Hat Satellite 6.18: Red Hat Trusted Artifact Signer 1.3: Red Hat Cryostat 4: Red Hat Gatekeeper 3: Logging Subsystem for Red Hat OpenShift: Logging Subsystem for Red Hat OpenShift: Logging Subsystem for Red Hat OpenShift: Logging Subsystem for Red Hat OpenShift: Logging Subsystem for Red Hat OpenShift: Logging Subsystem for Red Hat OpenShift: Red Hat Migration Toolkit for Applications 8: Red Hat OpenShift Pipelines: Red Hat OpenShift Pipelines: Red Hat OpenShift Service Mesh 3: Red Hat OpenShift Service Mesh 3: Red Hat 3scale API Management Platform 2: Red Hat 3scale API Management Platform 2: Red Hat 3scale API Management Platform 2: Red Hat 3scale API Management Platform 2: Red Hat 3scale API Management Platform 2: Red Hat 3scale API Management Platform 2: Red Hat 3scale API Management Platform 2: Red Hat 3scale API Management Platform 2: Red Hat 3scale API Management Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat Ansible Automation Platform 2: Red Hat build of Apache Camel - HawtIO 4: Red Hat build of Apicurio Registry 2: Red Hat build of Apicurio Registry 3: Red Hat build of Apicurio Registry 3: Red Hat Build of Kueue: Red Hat Build of Kueue: Red Hat Build of Kueue: Red Hat Build of Kueue: Red Hat Build of Podman Desktop - Tech Preview: Red Hat Data Grid 8: Red Hat Developer Hub: Red Hat Enterprise Linux 8: Red Hat Enterprise Linux 9: Red Hat Enterprise Linux AI (RHEL AI) 3: Red Hat Enterprise Linux AI (RHEL AI) 3: Red Hat Enterprise Linux AI (RHEL AI) 3: Red Hat Fuse 7: Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat OpenShift AI (RHOAI): Red Hat OpenShift Virtualization 4: Red Hat OpenShift Virtualization 4: Red Hat Process Automation 7: Red Hat Quay 3: Red Hat Quay 3: Red Hat Trusted Profile Analyzer: Red Hat Self-service automation portal 2: Red Hat streams for Apache Kafka 2:

Exploit Probability

EPSS
0.60%
Percentile
43.88%

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.