GHSA-7R74-667V-4Q77
Vulnerability from github – Published: 2026-08-23 00:30 – Updated: 2026-08-23 00:30
VLAI
Details
The WebToffee WooCommerce PDF Invoices, Packing Slips, Delivery Notes & Shipping Labels plugin for WordPress is vulnerable to Directory Traversal in all versions up to, and including, 4.9.8 via the get_image_src_in_base64 function. This makes it possible for authenticated attackers, with subscriber-level access and above, to read the contents of arbitrary files on the server, which can contain sensitive information. The base64-encoded file contents are embedded into the cached invoice HTML and served directly to the attacker via the plugin's own Print/Download invoice endpoints, which require only a valid nonce and access key.
Severity
6.5 (Medium)
{
"affected": [],
"aliases": [
"CVE-2026-18027"
],
"database_specific": {
"cwe_ids": [
"CWE-22"
],
"github_reviewed": false,
"github_reviewed_at": null,
"nvd_published_at": "2026-08-23T00:16:50Z",
"severity": "MODERATE"
},
"details": "The WebToffee WooCommerce PDF Invoices, Packing Slips, Delivery Notes \u0026 Shipping Labels plugin for WordPress is vulnerable to Directory Traversal in all versions up to, and including, 4.9.8 via the get_image_src_in_base64 function. This makes it possible for authenticated attackers, with subscriber-level access and above, to read the contents of arbitrary files on the server, which can contain sensitive information. The base64-encoded file contents are embedded into the cached invoice HTML and served directly to the attacker via the plugin\u0027s own Print/Download invoice endpoints, which require only a valid nonce and access key.",
"id": "GHSA-7r74-667v-4q77",
"modified": "2026-08-23T00:30:22Z",
"published": "2026-08-23T00:30:22Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2026-18027"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/print-invoices-packing-slip-labels-for-woocommerce/tags/4.9.8/admin/modules/customizer/classes/class-customizer.php#L1453"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/print-invoices-packing-slip-labels-for-woocommerce/tags/4.9.8/admin/modules/customizer/customizer.php#L1561"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/print-invoices-packing-slip-labels-for-woocommerce/tags/4.9.8/admin/modules/customizer/customizer.php#L1607"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/browser/print-invoices-packing-slip-labels-for-woocommerce/tags/4.9.8/public/modules/invoice/invoice.php#L1934"
},
{
"type": "WEB",
"url": "https://plugins.trac.wordpress.org/changeset/3646629/print-invoices-packing-slip-labels-for-woocommerce"
},
{
"type": "WEB",
"url": "https://www.wordfence.com/threat-intel/vulnerabilities/id/a46f270f-d9cb-4bc1-8e10-3fc6646e1d78?source=cve"
}
],
"schema_version": "1.4.0",
"severity": [
{
"score": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/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.
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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