Cyber Resilience

CVE-2026-23869

Published: 08 April 2026

Published
08 April 2026
Modified
08 April 2026
KEV Added
Patch
CVSS Score v3.1 7.5 CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H
EPSS Score 0.0084 75.2th percentile
Risk Priority 16 60% EPSS · 20% KEV · 20% CVSS

Summary

CVE-2026-23869 is a high-severity Uncontrolled Resource Consumption (CWE-400) vulnerability. Its CVSS base score is 7.5 (High).

Operationally, exploitation aligns with the MITRE ATT&CK technique Exploit Public-Facing Application (T1190); ranked in the top 24.8% of CVEs by exploit likelihood; it is not currently listed in the CISA KEV catalog.

The strongest mitigations our analysis identified are NIST 800-53 SC-5 (Denial-of-service Protection) and SI-10 (Information Input Validation).

Deeper analysis

CVE-2026-23869 is a denial-of-service vulnerability in React Server Components, specifically affecting the packages react-server-dom-parcel, react-server-dom-turbopack, and react-server-dom-webpack in versions 19.0.0 through 19.0.4, 19.1.0 through 19.1.5, and 19.2.0 through 19.2.4. The issue arises when specially crafted HTTP requests are sent to Server Function endpoints, where the request payload triggers excessive CPU usage lasting up to a minute before resulting in a catchable thrown error. It has a CVSS v3.1 base score of 7.5 (AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H) and is associated with CWE-400 (Uncontrolled Resource Consumption) and CWE-502 (Deserialization of Untrusted Data).

The vulnerability can be exploited remotely by unauthenticated attackers over the network with low complexity and no user interaction required. By sending the crafted HTTP requests to exposed Server Function endpoints, attackers can cause significant CPU exhaustion on the target server, leading to denial of service through resource depletion.

Mitigation details and patches are available in the security advisory published by the React team at https://github.com/facebook/react/security/advisories/GHSA-479c-33wc-g2pg. The CVE was published on 2026-04-08.

EU & UK References

Vulnerability details

A denial of service vulnerability exists in React Server Components, affecting the following packages: react-server-dom-parcel, react-server-dom-turbopack and react-server-dom-webpack (versions 19.0.0 through 19.0.4, 19.1.0 through 19.1.5, and 19.2.0 through 19.2.4). The vulnerability is triggered by sending specially crafted HTTP requests to…

more

Server Function endpoints.The payload of the HTTP request causes excessive CPU usage for up to a minute ending in a thrown error that is catchable.

CWE(s)

Related Threats

MITRE ATT&CK Enterprise TechniquesAI

T1190 Exploit Public-Facing Application Initial Access
Adversaries may attempt to exploit a weakness in an Internet-facing host or system to initially access a network.
T1499.004 Application or System Exploitation Impact
Adversaries may exploit software vulnerabilities that can cause an application or system to crash and deny availability to users.
Why these techniques?

CVE enables remote exploitation of exposed Server Function endpoints (T1190) via crafted requests that trigger resource exhaustion (T1499.004 Application or System Exploitation).

Confidence: HIGH · MITRE ATT&CK Enterprise v18.1

CVEs Like This One

CVE-2026-23864Shared CWE-400, CWE-502
CVE-2026-21619Shared CWE-400, CWE-502
CVE-2026-39304Shared CWE-400
CVE-2025-22777Shared CWE-502
CVE-2026-21637Shared CWE-400
CVE-2025-40944Shared CWE-400
CVE-2025-70886Shared CWE-400
CVE-2026-46834Shared CWE-400
CVE-2026-33204Shared CWE-400
CVE-2026-23824Shared CWE-400

Affected Assets

Mitigating Controls

Mitigating Controls (NIST 800-53 r5) AI

prevent

Requires timely identification, reporting, and correction of the specific flaw in vulnerable React Server Components packages, directly eliminating the DoS vulnerability.

prevent

Implements denial-of-service protections to limit effects of resource exhaustion attacks triggered by crafted HTTP requests to Server Function endpoints.

prevent

Validates HTTP request payloads to block specially crafted inputs that cause excessive CPU usage via uncontrolled resource consumption or deserialization.

References