Raw vector
CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:NSummary
CVE-2026-40175 is a medium-severity HTTP Request/Response Splitting (CWE-113) vulnerability in Axios Axios. Its CVSS base score is 4.8 (Medium).
Operationally, exploitation aligns with the MITRE ATT&CK technique Content Injection (T1659); ranked in the top 22% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog; a public proof-of-concept is referenced.
The strongest mitigations our analysis identified map to AC-3 (Access Enforcement) and AC-4 (Information Flow Enforcement) — see the control section below for these in your framework.
Deeper analysis AI-assisted summary
Synthesised by an AI model from the NVD description and linked references — a reading aid, not an authoritative source.
CVE-2026-40175 affects the Axios library, a promise-based HTTP client used in browsers and Node.js environments, in versions prior to 1.15.0. The vulnerability enables a specific "Gadget" attack chain that escalates Prototype Pollution occurring in any third-party dependency into Remote Code Execution (RCE) or Full Cloud Compromise, including via AWS IMDSv2 bypass. It is associated with CWEs-113, CWE-444, and CWE-918, and carries a CVSS v3.1 base score of 10.0 (AV:N/AC:L/PR:N/UI:N/S:C/C:H/I:H/A:H), indicating critical severity.
Remote attackers with network access can exploit this vulnerability with low complexity, no required privileges, and no user interaction. By leveraging Prototype Pollution in a third-party dependency, they can chain it through Axios to achieve RCE on the target system or full compromise of cloud environments, such as bypassing AWS IMDSv2 protections.
The vulnerability is addressed in Axios version 1.15.0. Mitigation involves updating to this patched release, as detailed in the official GitHub security advisory (GHSA-fvcv-3m26-pcqx), the release notes for v1.15.0, and the fixing commit and pull request.
OWASP Top 10 for Web (2025)
EU & UK References
- 🇪🇺 ENISA EUVD: EUVD-2026-21573
Vulnerability Data
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…
more
header values into outbound requests. This vulnerability is fixed in 1.15.0 and 0.3.1.
- CWE(s)
Related Threats
MITRE ATT&CK Enterprise Techniques
CVEs Like This One
Affected Assets
Mitigating Controls
Control response
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V3.4.2V4.1.3V4.2.4V1.3.6
Mitigating Controls (NIST 800-53 r5) AI
Enforces authorizations so that only permitted attributes may be modified on an object.
Information flow enforcement can restrict which destinations the server is allowed to contact on behalf of users.
Limits the set of modifiable attributes a subject is authorized to touch.
Input validation stops unneutralized CR/LF characters from being accepted and later emitted in HTTP headers.
Output filtering can neutralize CRLF sequences before they reach HTTP response headers.
Boundary protection at external interfaces can enforce consistent HTTP request/response parsing rules between intermediaries and endpoints.
Mitigating Controls (NIST CSF 2.0) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→CSF cross-walk (authority under review) — links open the control.
Configuration management can enforce uniform HTTP parsing rules across intermediaries, directly mitigating inconsistent interpretation.
Secure SDLC practices directly require input sanitization and header handling that prevent CRLF injection.
Network monitoring can detect smuggling attempts via anomalous HTTP traffic or logs, while eliminating the inconsistency directly aids detection of such events.
Runtime monitoring of web applications and services can detect anomalous outbound requests indicative of SSRF.
Vulnerability identification processes can discover and record SSRF flaws in web applications.
Network protections can enforce consistent HTTP proxy/firewall behavior to block smuggling, and removing the weakness helps prevent unauthorized access via request smuggling.
Mitigating Controls (ISO/IEC 27001:2022 Annex A) AI
Derived directly from the weakness types (CWEs) cited in the NVD entry via our AI-authored CWE→ISO cross-walk (authority under review) — links open the control.
Secure coding standards explicitly forbid unsafe dynamic attribute assignment and require property allow-lists.
Security testing in development and acceptance can detect CRLF injection flaws before deployment.
Operational threat data describing SSRF campaigns can be used to tighten outbound-request allow-lists and detection rules before attackers exploit them.
Network security controls can enforce consistent HTTP parsing and proxy behavior that mitigates request smuggling.
Secure network services include hardening proxies and gateways against inconsistent HTTP interpretation.
Secure development lifecycle mandates input validation and output encoding that directly prevents CRLF injection into HTTP headers.