GSD-2020-26296
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. Vega in an npm package. In Vega before version 5.17.3 there is an XSS vulnerability in Vega expressions. Through a specially crafted Vega expression, an attacker could execute arbitrary javascript on a victim's machine. This is fixed in version 5.17.3
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-26296",
"description": "Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. Vega in an npm package. In Vega before version 5.17.3 there is an XSS vulnerability in Vega expressions. Through a specially crafted Vega expression, an attacker could execute arbitrary javascript on a victim\u0027s machine. This is fixed in version 5.17.3",
"id": "GSD-2020-26296"
},
"gsd": {
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"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
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"id": "GSD-2020-26296",
"modified": "2023-12-13T01:22:09.086457Z",
"schema_version": "1.4.0"
}
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}
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"impact": {
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"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 8.7,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "HIGH",
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"scope": "CHANGED",
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"cwe_ids": [
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"CWE-79",
"CWE-937"
],
"date": "2021-01-06",
"description": "Vega is a visualization grammar, a declarative format for creating, saving, and sharing interactive visualization designs. In Vega there is an XSS vulnerability in Vega expressions. Through a specially crafted Vega expression, an attacker could execute arbitrary javascript on a victim\u0027s machine.",
"fixed_versions": [
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],
"identifier": "CVE-2020-26296",
"identifiers": [
"CVE-2020-26296",
"GHSA-r2qc-w64x-6j54"
],
"not_impacted": "All versions starting from 5.17.3",
"package_slug": "npm/vega",
"pubdate": "2020-12-30",
"solution": "Upgrade to version 5.17.3 or above.",
"title": "Cross-site Scripting",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2020-26296"
],
"uuid": "e351d250-7dff-41b6-9e75-40c63af945a3"
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"impact": {
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"authentication": "SINGLE",
"availabilityImpact": "NONE",
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"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
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"severity": "LOW",
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"scope": "CHANGED",
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"lastModifiedDate": "2021-01-06T18:06Z",
"publishedDate": "2020-12-30T23:15Z"
}
}
}
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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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