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decode-uri-component vulnerable to denial of service via quadratic replacement of percent-encoded runs

High severity GitHub Reviewed Published Oct 23, 2026 in SamVerschueren/decode-uri-component • Updated Oct 29, 2026

Package

npm decode-uri-component (npm)

Affected versions

<= 0.5.0

Patched versions

0.5.1

Description

Summary

decodeUriComponent() takes quadratic time on malformed input that has many distinct percent-encoded runs. A single unauthenticated request of about 224 KB can block the Node.js event loop for about 20 seconds. Version 0.5.0, the release that fixed CVE-2026-45822, is affected.

Details

When native decodeURIComponent throws, decodeUriComponent() falls back to customDecodeURIComponent (index.js:122). That function:

  1. Scans the input for every run of percent-encoded bytes (e.g. %C3%A5) and stores each distinct run, with its decoded value, in a lookup table (index.js:130-144).
  2. Runs one full-string input.replace(new RegExp(key, 'g'), …) per table entry (index.js:154).

With K distinct runs in an input of length L, that's K regex compilations and K full scans of the string, so O(K·L). An attacker controls both K and L, and K grows with L. One malformed sequence such as a trailing %zz is enough to force the fallback path.

The 0.5.0 fix for CVE-2026-45822 (fa479da) replaced the recursive decode() routine with a linear scanner, but left this replacement loop unchanged.

Proof of concept

Running the following code takes ~20 seconds.

import decodeUriComponent from 'decode-uri-component';

let payload = '';
for (let i = 0; i < 32000; i++) {
	const high = Math.floor(i / 256).toString(16).padStart(2, '0');
	const low = (i % 256).toString(16).padStart(2, '0');
	payload += `%${high}%${low}x`; // distinct run each iteration
}
payload += '%zz'; // forces the fallback decoder

console.time('decode');
decodeUriComponent(payload); // ~224 KB
console.timeEnd('decode');

Impact

This is an availability issue only and there's no confidentiality or integrity impact. Any application that passes untrusted input to decodeUriComponent(), directly or through a dependency such as query-string, can be made unresponsive. Because Node.js runs on one thread, one request stalls every other client.

The worst case needs input well beyond URL length limits. Node's default 16 KB header limit keeps payloads passed in via a URL query string to roughly 40 ms per request. Applications that decode request bodies are fully exposed, for example form bodies parsed with query-string.parse().

References

Published by the National Vulnerability Database Oct 28, 2026
Published to the GitHub Advisory Database Oct 29, 2026
Reviewed Oct 29, 2026
Last updated Oct 29, 2026

Severity

High

CVSS overall score

This score calculates overall vulnerability severity from 0 to 10 and is based on the Common Vulnerability Scoring System (CVSS).
/ 10

CVSS v4 base metrics

Exploitability Metrics
Attack Vector Network
Attack Complexity Low
Attack Requirements Present
Privileges Required None
User interaction None
Vulnerable System Impact Metrics
Confidentiality None
Integrity None
Availability High
Subsequent System Impact Metrics
Confidentiality None
Integrity None
Availability None

CVSS v4 base metrics

Exploitability Metrics
Attack Vector: This metric reflects the context by which vulnerability exploitation is possible. This metric value (and consequently the resulting severity) will be larger the more remote (logically, and physically) an attacker can be in order to exploit the vulnerable system. The assumption is that the number of potential attackers for a vulnerability that could be exploited from across a network is larger than the number of potential attackers that could exploit a vulnerability requiring physical access to a device, and therefore warrants a greater severity.
Attack Complexity: This metric captures measurable actions that must be taken by the attacker to actively evade or circumvent existing built-in security-enhancing conditions in order to obtain a working exploit. These are conditions whose primary purpose is to increase security and/or increase exploit engineering complexity. A vulnerability exploitable without a target-specific variable has a lower complexity than a vulnerability that would require non-trivial customization. This metric is meant to capture security mechanisms utilized by the vulnerable system.
Attack Requirements: This metric captures the prerequisite deployment and execution conditions or variables of the vulnerable system that enable the attack. These differ from security-enhancing techniques/technologies (ref Attack Complexity) as the primary purpose of these conditions is not to explicitly mitigate attacks, but rather, emerge naturally as a consequence of the deployment and execution of the vulnerable system.
Privileges Required: This metric describes the level of privileges an attacker must possess prior to successfully exploiting the vulnerability. The method by which the attacker obtains privileged credentials prior to the attack (e.g., free trial accounts), is outside the scope of this metric. Generally, self-service provisioned accounts do not constitute a privilege requirement if the attacker can grant themselves privileges as part of the attack.
User interaction: This metric captures the requirement for a human user, other than the attacker, to participate in the successful compromise of the vulnerable system. This metric determines whether the vulnerability can be exploited solely at the will of the attacker, or whether a separate user (or user-initiated process) must participate in some manner.
Vulnerable System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the VULNERABLE SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the VULNERABLE SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the VULNERABLE SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
Subsequent System Impact Metrics
Confidentiality: This metric measures the impact to the confidentiality of the information managed by the SUBSEQUENT SYSTEM due to a successfully exploited vulnerability. Confidentiality refers to limiting information access and disclosure to only authorized users, as well as preventing access by, or disclosure to, unauthorized ones.
Integrity: This metric measures the impact to integrity of a successfully exploited vulnerability. Integrity refers to the trustworthiness and veracity of information. Integrity of the SUBSEQUENT SYSTEM is impacted when an attacker makes unauthorized modification of system data. Integrity is also impacted when a system user can repudiate critical actions taken in the context of the system (e.g. due to insufficient logging).
Availability: This metric measures the impact to the availability of the SUBSEQUENT SYSTEM resulting from a successfully exploited vulnerability. While the Confidentiality and Integrity impact metrics apply to the loss of confidentiality or integrity of data (e.g., information, files) used by the system, this metric refers to the loss of availability of the impacted system itself, such as a networked service (e.g., web, database, email). Since availability refers to the accessibility of information resources, attacks that consume network bandwidth, processor cycles, or disk space all impact the availability of a system.
CVSS:4.0/AV:N/AC:L/AT:P/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N

EPSS score

Exploit Prediction Scoring System (EPSS)

This score estimates the probability of this vulnerability being exploited within the next 30 days. Data provided by FIRST.
(25th percentile)

Weaknesses

Uncontrolled Resource Consumption

The product does not properly control the allocation and maintenance of a limited resource. Learn more on MITRE.

Inefficient Algorithmic Complexity

An algorithm in a product has an inefficient worst-case computational complexity that may be detrimental to system performance and can be triggered by an attacker, typically using crafted manipulations that ensure that the worst case is being reached. Learn more on MITRE.

CVE ID

CVE-2026-118664

GHSA ID

GHSA-qr28-fpjm-wq7f

Credits

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