GSD-2019-15587
Vulnerability from gsd - Updated: 2019-10-22 00:00Details
In the Loofah gem, through v2.3.0, unsanitized JavaScript may occur in
sanitized output when a crafted SVG element is republished.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-15587",
"description": "In the Loofah gem for Ruby through v2.3.0 unsanitized JavaScript may occur in sanitized output when a crafted SVG element is republished.",
"id": "GSD-2019-15587",
"references": [
"https://www.suse.com/security/cve/CVE-2019-15587.html",
"https://www.debian.org/security/2019/dsa-4554",
"https://ubuntu.com/security/CVE-2019-15587"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"affected": [
{
"package": {
"ecosystem": "RubyGems",
"name": "loofah",
"purl": "pkg:gem/loofah"
}
}
],
"aliases": [
"CVE-2019-15587",
"GHSA-c3gv-9cxf-6f57"
],
"details": "In the Loofah gem, through v2.3.0, unsanitized JavaScript may occur in\nsanitized output when a crafted SVG element is republished.\n",
"id": "GSD-2019-15587",
"modified": "2019-10-22T00:00:00.000Z",
"published": "2019-10-22T00:00:00.000Z",
"references": [
{
"type": "WEB",
"url": "https://github.com/flavorjones/loofah/issues/171"
}
],
"schema_version": "1.4.0",
"severity": [
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"score": 6.4,
"type": "CVSS_V3"
}
],
"summary": "Loofah XSS Vulnerability"
}
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"description": "In the Loofah gem, through v2.3.0, unsanitized JavaScript may occur in\nsanitized output when a crafted SVG element is republished.\n",
"gem": "loofah",
"ghsa": "c3gv-9cxf-6f57",
"patched_versions": [
"\u003e= 2.3.1"
],
"title": "Loofah XSS Vulnerability",
"url": "https://github.com/flavorjones/loofah/issues/171"
},
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"cwe_ids": [
"CWE-1035",
"CWE-79",
"CWE-937"
],
"date": "2019-10-25",
"description": "In the Loofah gem for Ruby through unsanitized JavaScript may occur in sanitized output when a crafted SVG element is republished.",
"fixed_versions": [
"2.3.1"
],
"identifier": "CVE-2019-15587",
"identifiers": [
"CVE-2019-15587"
],
"not_impacted": "All versions after 2.3.0",
"package_slug": "gem/loofah",
"pubdate": "2019-10-22",
"solution": "Upgrade to version 2.3.1 or above.",
"title": "Cross-site Scripting",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2019-15587"
],
"uuid": "4e0cedab-d221-4644-95ef-84afc801fab7"
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"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
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"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 6.8,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "LOW",
"userInteractionRequired": true
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"attackVector": "NETWORK",
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"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
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"exploitabilityScore": 2.3,
"impactScore": 2.7
}
},
"lastModifiedDate": "2023-01-20T16:48Z",
"publishedDate": "2019-10-22T21:15Z"
}
}
}
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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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