CVE-2026-108264 (GCVE-0-2026-108264)
Vulnerability from cvelistv5 – Published: 2026-10-09 20:52 – Updated: 2026-10-09 20:52
VLAI
EPSS
VEX
Title
Wizarr: Authenticated Server-Side Template Injection (SSTI) in wizard step rendering leads to Remote Code Execution (RCE)
Summary
Wizarr is an advanced user invitation and management system for Jellyfin, Plex, Emby, and other media servers. Prior to 2026.9.1, wizard step Markdown supplied through the editor or imported bundles was evaluated by app/blueprints/wizard/routes.py in the application's non-sandboxed Jinja2 environment with application globals exposed. An authenticated user able to create steps, or an administrator importing an untrusted bundle through POST /settings/wizard/import, could execute arbitrary Python when GET /wizard/{server}/{idx} rendered the stored step; app/jinja_filters.py and app/services/wizard_widgets.py contained additional evaluation sinks. This could execute operating-system commands as the application user, disclose the Flask SECRET_KEY, access connected service credentials and the database, and produce stored cross-site scripting. This issue is fixed in 2026.9.1.
Severity
9.1 (Critical)
CWE
- CWE-1336 - Improper Neutralization of Special Elements Used in a Template Engine
Assigner
References
3 references
| URL | Tags |
|---|---|
| https://github.com/wizarrrr/wizarr/security/advis… | x_refsource_CONFIRM |
| https://github.com/wizarrrr/wizarr/commit/6aa3c33… | x_refsource_MISC |
| https://github.com/wizarrrr/wizarr/releases/tag/v… | x_refsource_MISC |
Impacted products
{
"containers": {
"cna": {
"affected": [
{
"product": "wizarr",
"vendor": "wizarrrr",
"versions": [
{
"status": "affected",
"version": "\u003c 2026.9.1"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "Wizarr is an advanced user invitation and management system for Jellyfin, Plex, Emby, and other media servers. Prior to 2026.9.1, wizard step Markdown supplied through the editor or imported bundles was evaluated by app/blueprints/wizard/routes.py in the application\u0027s non-sandboxed Jinja2 environment with application globals exposed. An authenticated user able to create steps, or an administrator importing an untrusted bundle through POST /settings/wizard/import, could execute arbitrary Python when GET /wizard/{server}/{idx} rendered the stored step; app/jinja_filters.py and app/services/wizard_widgets.py contained additional evaluation sinks. This could execute operating-system commands as the application user, disclose the Flask SECRET_KEY, access connected service credentials and the database, and produce stored cross-site scripting. This issue is fixed in 2026.9.1."
}
],
"metrics": [
{
"cvssV3_1": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
}
}
],
"problemTypes": [
{
"descriptions": [
{
"cweId": "CWE-1336",
"description": "CWE-1336: Improper Neutralization of Special Elements Used in a Template Engine",
"lang": "en",
"type": "CWE"
}
]
}
],
"providerMetadata": {
"dateUpdated": "2026-10-09T20:52:19.351Z",
"orgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"shortName": "GitHub_M"
},
"references": [
{
"name": "https://github.com/wizarrrr/wizarr/security/advisories/GHSA-h9rv-mxh2-35f3",
"tags": [
"x_refsource_CONFIRM"
],
"url": "https://github.com/wizarrrr/wizarr/security/advisories/GHSA-h9rv-mxh2-35f3"
},
{
"name": "https://github.com/wizarrrr/wizarr/commit/6aa3c33c1b3d945e055ef116cc531028b3735bb7",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/wizarrrr/wizarr/commit/6aa3c33c1b3d945e055ef116cc531028b3735bb7"
},
{
"name": "https://github.com/wizarrrr/wizarr/releases/tag/v2026.9.1",
"tags": [
"x_refsource_MISC"
],
"url": "https://github.com/wizarrrr/wizarr/releases/tag/v2026.9.1"
}
],
"source": {
"advisory": "GHSA-h9rv-mxh2-35f3",
"discovery": "UNKNOWN"
},
"title": "Wizarr: Authenticated Server-Side Template Injection (SSTI) in wizard step rendering leads to Remote Code Execution (RCE)"
}
},
"cveMetadata": {
"assignerOrgId": "a0819718-46f1-4df5-94e2-005712e83aaa",
"assignerShortName": "GitHub_M",
"cveId": "CVE-2026-108264",
"datePublished": "2026-10-09T20:52:19.351Z",
"dateReserved": "2026-10-09T17:33:15.410Z",
"dateUpdated": "2026-10-09T20:52:19.351Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.2",
"vulnerability-lookup:meta": {
"epss": {
"cve": "CVE-2026-108264",
"date": "2026-10-10",
"epss": "0.00375",
"percentile": "0.29434"
},
"nvd": {
"cve": {
"affected": [
{
"affectedData": [
{
"product": "wizarr",
"vendor": "wizarrrr",
"versions": [
{
"status": "affected",
"version": "\u003c 2026.9.1"
}
]
}
],
"source": "security-advisories@github.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Wizarr is an advanced user invitation and management system for Jellyfin, Plex, Emby, and other media servers. Prior to 2026.9.1, wizard step Markdown supplied through the editor or imported bundles was evaluated by app/blueprints/wizard/routes.py in the application\u0027s non-sandboxed Jinja2 environment with application globals exposed. An authenticated user able to create steps, or an administrator importing an untrusted bundle through POST /settings/wizard/import, could execute arbitrary Python when GET /wizard/{server}/{idx} rendered the stored step; app/jinja_filters.py and app/services/wizard_widgets.py contained additional evaluation sinks. This could execute operating-system commands as the application user, disclose the Flask SECRET_KEY, access connected service credentials and the database, and produce stored cross-site scripting. This issue is fixed in 2026.9.1."
}
],
"id": "CVE-2026-108264",
"lastModified": "2026-10-09T21:17:04.703",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 9.1,
"baseSeverity": "CRITICAL",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
"privilegesRequired": "HIGH",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:C/C:H/I:H/A:H",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 6.0,
"source": "security-advisories@github.com",
"type": "Secondary"
}
]
},
"published": "2026-10-09T21:17:04.703",
"references": [
{
"source": "security-advisories@github.com",
"url": "https://github.com/wizarrrr/wizarr/commit/6aa3c33c1b3d945e055ef116cc531028b3735bb7"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/wizarrrr/wizarr/releases/tag/v2026.9.1"
},
{
"source": "security-advisories@github.com",
"url": "https://github.com/wizarrrr/wizarr/security/advisories/GHSA-h9rv-mxh2-35f3"
}
],
"sourceIdentifier": "security-advisories@github.com",
"vulnStatus": "Received",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-1336"
}
],
"source": "security-advisories@github.com",
"type": "Primary"
}
]
}
}
}
}
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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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