CVE-2026-70650 (GCVE-0-2026-70650)
Vulnerability from cvelistv5 – Published: 2026-10-01 19:39 – Updated: 2026-10-01 19:39
VLAI
EPSS
VEX
Title
GetSimple CMS: Authenticated Stored XSS in backup viewer (backup-edit.php) via output decoding of page meta fields and content
Summary
GetSimple CMS is a content management system (CMS), and GetSimple CMS CE is the community edition of that CMS. In versions 3.3.22 and prior, an authenticated stored Cross-Site Scripting (XSS) vulnerability exists in the page backup viewer (admin/backup-edit.php). Page fields are correctly HTML-encoded when a page is saved, but the backup viewer decodes them again (htmldecode() / strip_decode()) and prints the result without re-escaping. A user who can edit a page can store JavaScript in a page's Keywords, Description, Menu text or Content; it executes in the browser of any administrator who later views that page's backup, in the context of the admin control panel. At time of publication, there are no publicly available patches.
Severity
CWE
- CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://github.com/GetSimpleCMS-CE/GetSimpleCMS-C… | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| GetSimpleCMS-CE | GetSimpleCMS-CE |
Affected:
<= 3.3.22
|
guessed |
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}
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"problemTypes": [
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"providerMetadata": {
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"source": {
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"discovery": "UNKNOWN"
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"title": "GetSimple CMS: Authenticated Stored XSS in backup viewer (backup-edit.php) via output decoding of page meta fields and content"
}
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"dateReserved": "2026-08-04T21:48:08.612Z",
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}
],
"id": "CVE-2026-70650",
"lastModified": "2026-10-01T20:23:46.493",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
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"Recovery": "NOT_DEFINED",
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"attackComplexity": "LOW",
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"valueDensity": "NOT_DEFINED",
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"published": "2026-10-01T20:17:29.110",
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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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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.
Browse all ATT&CK techniques and the vulnerabilities related to each.
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Related by attack behaviour
Vulnerabilities whose description is nearest to this one in the vector space of the CIRCL/vulnerability-attack-technique-biencoder model. This is a similarity search over the bi-encoder space (plain cosine), not a classification, and it has no measured accuracy.
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