GHSA-P384-7C3J-GQM7
Vulnerability from github – Published: 2026-08-07 09:31 – Updated: 2026-08-07 09:31
VLAI
Details
The Subscriptions for WooCommerce WordPress plugin before 2.0.1 does not validate the payment amount or bind the PayPal order token to the order being completed on the WooCommerce order-received flow: it captures a client-supplied token and marks the order paid whenever the capture status is COMPLETED, without comparing the captured amount to the order total. This allows an attacker (unauthenticated where guest checkout is enabled) to substitute an approved, uncaptured PayPal order token and have an expensive order marked paid without paying its price.
Severity
5.9 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-15211"
],
"database_specific": {
"cwe_ids": [
"CWE-345"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-07T08:16:45Z",
"severity": "MODERATE"
},
"details": "The Subscriptions for WooCommerce WordPress plugin before 2.0.1 does not validate the payment amount or bind the PayPal order token to the order being completed on the WooCommerce order-received flow: it captures a client-supplied token and marks the order paid whenever the capture status is COMPLETED, without comparing the captured amount to the order total. This allows an attacker (unauthenticated where guest checkout is enabled) to substitute an approved, uncaptured PayPal order token and have an expensive order marked paid without paying its price.",
"id": "GHSA-p384-7c3j-gqm7",
"modified": "2026-08-07T09:31:52Z",
"published": "2026-08-07T09:31:52Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-15211"
},
{
"type": "WEB",
"url": "https://wpscan.com/vulnerability/0653ccce-5427-4ffc-a34c-18b45710d9f3"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:U/C:N/I:H/A:N",
"type": "CVSS_V3"
}
]
}
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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.
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