GSD-2019-14863
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
There is a vulnerability in all angular versions before 1.5.0-beta.0, where after escaping the context of the web application, the web application delivers data to its users along with other trusted dynamic content, without validating it.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-14863",
"description": "There is a vulnerability in all angular versions before 1.5.0-beta.0, where after escaping the context of the web application, the web application delivers data to its users along with other trusted dynamic content, without validating it.",
"id": "GSD-2019-14863",
"references": [
"https://access.redhat.com/errata/RHSA-2019:4071",
"https://access.redhat.com/errata/RHSA-2019:4069"
]
},
"gsd": {
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"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
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"modified": "2023-12-13T01:23:52.757362Z",
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"gitlab.com": {
"advisories": [
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"affected_versions": "All versions up to 1.4.14",
"cvss_v2": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
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"cwe_ids": [
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"CWE-79",
"CWE-937"
],
"date": "2021-08-19",
"description": "There is a vulnerability in all angular versions before 1.5.0-beta.0, where after escaping the context of the web application, the web application delivers data to its users along with other trusted dynamic content, without validating it.",
"fixed_versions": [
"1.5.0"
],
"identifier": "CVE-2019-14863",
"identifiers": [
"GHSA-r5fx-8r73-v86c",
"CVE-2019-14863"
],
"not_impacted": "All versions after 1.4.14",
"package_slug": "npm/angular",
"pubdate": "2020-02-14",
"solution": "Upgrade to version 1.5.0 or above.",
"title": "Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2019-14863",
"https://github.com/angular/angular.js/pull/12524",
"https://github.com/angular/angular.js/commit/35a21532b73d5bd84b4325211c563e6a3e2dde82",
"https://github.com/angular/angular.js/commit/f33ce173c90736e349cf594df717ae3ee41e0f7a",
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},
"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"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:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
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"exploitabilityScore": 2.8,
"impactScore": 2.7
}
},
"lastModifiedDate": "2020-01-09T19:57Z",
"publishedDate": "2020-01-02T15:15Z"
}
}
}
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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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