GSD-2016-10547
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
Nunjucks is a full featured templating engine for JavaScript. Versions 2.4.2 and lower have a cross site scripting (XSS) vulnerability in autoescape mode. In autoescape mode, all template vars should automatically be escaped. By using an array for the keys, such as `name[]=<script>alert(1)</script>`, it is possible to bypass autoescaping and inject content into the DOM.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2016-10547",
"description": "Nunjucks is a full featured templating engine for JavaScript. Versions 2.4.2 and lower have a cross site scripting (XSS) vulnerability in autoescape mode. In autoescape mode, all template vars should automatically be escaped. By using an array for the keys, such as `name[]=\u003cscript\u003ealert(1)\u003c/script\u003e`, it is possible to bypass autoescaping and inject content into the DOM.",
"id": "GSD-2016-10547"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2016-10547"
],
"details": "Nunjucks is a full featured templating engine for JavaScript. Versions 2.4.2 and lower have a cross site scripting (XSS) vulnerability in autoescape mode. In autoescape mode, all template vars should automatically be escaped. By using an array for the keys, such as `name[]=\u003cscript\u003ealert(1)\u003c/script\u003e`, it is possible to bypass autoescaping and inject content into the DOM.",
"id": "GSD-2016-10547",
"modified": "2023-12-13T01:21:26.960931Z",
"schema_version": "1.4.0"
}
},
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"DATE_PUBLIC": "2018-04-26T00:00:00",
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"affects": {
"vendor": {
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"product": {
"product_data": [
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"product_name": "nunjucks node module",
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"value": "Nunjucks is a full featured templating engine for JavaScript. Versions 2.4.2 and lower have a cross site scripting (XSS) vulnerability in autoescape mode. In autoescape mode, all template vars should automatically be escaped. By using an array for the keys, such as `name[]=\u003cscript\u003ealert(1)\u003c/script\u003e`, it is possible to bypass autoescaping and inject content into the DOM."
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"value": "Cross-site Scripting (XSS) - Generic (CWE-79)"
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"name": "https://github.com/mozilla/nunjucks/issues/835",
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"url": "https://github.com/mozilla/nunjucks/issues/835"
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"name": "https://nodesecurity.io/advisories/147",
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"url": "https://nodesecurity.io/advisories/147"
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"refsource": "MISC",
"url": "https://github.com/matt-/nunjucks_test"
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},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c2.4.3",
"affected_versions": "All versions before 2.4.3",
"cvss_v2": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"cvss_v3": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-79",
"CWE-937"
],
"date": "2021-01-08",
"description": "Nunjucks is a full featured templating engine for JavaScript. Versions 2.4.2 and lower have a cross site scripting (XSS) vulnerability in autoescape mode. In autoescape mode, all template vars should automatically be escaped. By using an array for the keys, such as `name[]=\u003cscript\u003ealert(1)\u003c/script\u003e`, it is possible to bypass autoescaping and inject content into the DOM.",
"fixed_versions": [
"2.4.3"
],
"identifier": "CVE-2016-10547",
"identifiers": [
"GHSA-f7ph-p5rv-phw2",
"CVE-2016-10547"
],
"not_impacted": "All versions starting from 2.4.3",
"package_slug": "npm/nunjucks",
"pubdate": "2018-11-06",
"solution": "Upgrade to version 2.4.3 or above.",
"title": "Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2016-10547",
"https://github.com/mozilla/nunjucks/issues/835",
"https://github.com/advisories/GHSA-f7ph-p5rv-phw2",
"https://github.com/matt-/nunjucks_test",
"https://www.npmjs.com/advisories/147",
"https://nodesecurity.io/advisories/147"
],
"uuid": "6346d4a0-1022-41ea-a403-84d4f1c33622"
}
]
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"nvd.nist.gov": {
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"cpe_match": [
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"cpe23Uri": "cpe:2.3:a:mozilla:nunjucks:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndIncluding": "2.4.2",
"vulnerable": true
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"description": {
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"problemtype": {
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"references": {
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"refsource": "MISC",
"tags": [
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{
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},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": true
},
"baseMetricV3": {
"cvssV3": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.0"
},
"exploitabilityScore": 2.8,
"impactScore": 2.7
}
},
"lastModifiedDate": "2019-10-09T23:16Z",
"publishedDate": "2018-05-31T20:29Z"
}
}
}
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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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