GHSA-R3J6-GPJW-QFJR
Vulnerability from github – Published: 2026-09-01 21:29 – Updated: 2026-09-01 21:29
VLAI
Summary
Filament: Multi-factor authentication (app) codes can still be used after a newer code has been used
Details
A flaw in the handling of one-time codes for app-based multi-factor authentication allows a previously issued code to be used after a newer code has already been accepted. This issue does not affect email-based MFA. Submitting the exact same code twice was already prevented, but any other code within the accepted time window was not.
If an attacker gains access to both the user's password and a single one-time code, that code stays usable for the remainder of its time window, which is around four minutes on the default settings, including after the legitimate user has already logged in with a newer code.
Severity
6.5 (Medium)
{
"affected": [
{
"package": {
"ecosystem": "Packagist",
"name": "filament/filament"
},
"ranges": [
{
"events": [
{
"introduced": "4.0.0"
},
{
"fixed": "4.12.6"
}
],
"type": "ECOSYSTEM"
}
]
},
{
"package": {
"ecosystem": "Packagist",
"name": "filament/filament"
},
"ranges": [
{
"events": [
{
"introduced": "5.0.0"
},
{
"fixed": "5.7.6"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"aliases": [
"CVE-2026-84306"
],
"database_specific": {
"cwe_ids": [
"CWE-294"
],
"github_reviewed": true,
"github_reviewed_at": "2026-09-01T21:29:43Z",
"nvd_published_at": null,
"severity": "MODERATE"
},
"details": "A flaw in the handling of one-time codes for app-based multi-factor authentication allows a previously issued code to be used after a newer code has already been accepted. This issue does not affect email-based MFA. Submitting the exact same code twice was already prevented, but any other code within the accepted time window was not.\n\nIf an attacker gains access to both the user\u0027s password and a single one-time code, that code stays usable for the remainder of its time window, which is around four minutes on the default settings, including after the legitimate user has already logged in with a newer code.",
"id": "GHSA-r3j6-gpjw-qfjr",
"modified": "2026-09-01T21:29:43Z",
"published": "2026-09-01T21:29:43Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/filamentphp/filament/security/advisories/GHSA-r3j6-gpjw-qfjr"
},
{
"type": "WEB",
"url": "https://github.com/filamentphp/filament/pull/20335"
},
{
"type": "WEB",
"url": "https://github.com/filamentphp/filament/commit/b6bde8572bcac75d4f5b4ec892ba7b9e91e0ab4d"
},
{
"type": "PACKAGE",
"url": "https://github.com/filamentphp/filament"
},
{
"type": "WEB",
"url": "https://github.com/filamentphp/filament/releases/tag/v4.12.6"
},
{
"type": "WEB",
"url": "https://github.com/filamentphp/filament/releases/tag/v5.7.6"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:L/A:N",
"type": "CVSS_V3"
}
],
"summary": "Filament: Multi-factor authentication (app) codes can still be used after a newer code has been used"
}
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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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