GHSA-VCC3-GHJQ-M6FR
Vulnerability from github – Published: 2026-08-31 22:10 – Updated: 2026-08-31 22:10
VLAI
Summary
decode-uri-component: Denial of service via exponential decoding of malformed percent-encoded input
Details
Impact
An attacker who can supply input to decodeUriComponent() (directly or via a dependency that uses this package on URL/query/path data) can cause excessive CPU usage and application unresponsiveness. This is an availability issue; there is no known memory corruption, data disclosure, or remote code execution impact.
Patches
Upgrade to decode-uri-component@0.5.0.
Workarounds
Limit the size of the input.
Severity
{
"affected": [
{
"database_specific": {
"last_known_affected_version_range": "\u003c= 0.4.2"
},
"package": {
"ecosystem": "npm",
"name": "decode-uri-component"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "0.5.0"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-45822"
],
"database_specific": {
"cwe_ids": [
"CWE-1176",
"CWE-400",
"CWE-405",
"CWE-407"
],
"github_reviewed": true,
"github_reviewed_at": "2026-08-31T22:10:20Z",
"nvd_published_at": "2026-06-30T09:16:25Z",
"severity": "MODERATE"
},
"details": "### Impact\nAn attacker who can supply input to `decodeUriComponent()` (directly or via a dependency that uses this package on URL/query/path data) can cause excessive CPU usage and application unresponsiveness. This is an availability issue; there is no known memory corruption, data disclosure, or remote code execution impact.\n\n### Patches\nUpgrade to `decode-uri-component@0.5.0`.\n\n### Workarounds\nLimit the size of the input.",
"id": "GHSA-vcc3-ghjq-m6fr",
"modified": "2026-08-31T22:10:20Z",
"published": "2026-08-31T22:10:20Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/SamVerschueren/decode-uri-component/security/advisories/GHSA-vcc3-ghjq-m6fr"
},
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-45822"
},
{
"type": "WEB",
"url": "https://github.com/SamVerschueren/decode-uri-component/commit/fa479dafeede7bedf04e5c89aa78f2a78c664005"
},
{
"type": "PACKAGE",
"url": "https://github.com/SamVerschueren/decode-uri-component"
},
{
"type": "WEB",
"url": "https://github.com/SamVerschueren/decode-uri-component/blob/00662938dc7c6241547ae8abce7785cc13ffd3f6/index.js"
},
{
"type": "WEB",
"url": "https://github.com/SamVerschueren/decode-uri-component/releases/tag/v0.5.0"
},
{
"type": "WEB",
"url": "https://www.npmjs.com/package/decode-uri-component"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N/E:U/S:N/AU:Y/R:U/V:D/RE:M/U:Amber",
"type": "CVSS_V4"
}
],
"summary": "decode-uri-component: Denial of service via exponential decoding of malformed percent-encoded input"
}
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Experimental. This forecast is provided for visualization only and may change without notice. Do not use it for operational decisions.
Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.
Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
- Seen: The vulnerability was mentioned, discussed, or observed by the user.
- Confirmed: The vulnerability has been validated from an analyst's perspective.
- Published Proof of Concept: A public proof of concept is available for this vulnerability.
- Exploited: The vulnerability was observed as exploited by the user who reported the sighting.
- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
- Not exploited: The vulnerability was not observed as exploited by the user who reported the sighting.
- Not confirmed: The user expressed doubt about the validity of the vulnerability.
- Not patched: The vulnerability was not observed as successfully patched by the user who reported the sighting.
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The MITRE ATT&CK techniques below are AI-generated suggestions, inferred from the description of the
vulnerability by the CIRCL/vulnerability-attack-technique-classification-roberta-base
model, served locally by ML-Gateway.
They have not been verified by an analyst and are provided for guidance only.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
The approach is described in our paper Mapping CVEs to MITRE ATT&CK Techniques: A Curated Gold-Set Classifier and the Limits of LLM-Assisted Label Expansion.
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