GSD-2019-14233
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
An issue was discovered in Django 1.11.x before 1.11.23, 2.1.x before 2.1.11, and 2.2.x before 2.2.4. Due to the behaviour of the underlying HTMLParser, django.utils.html.strip_tags would be extremely slow to evaluate certain inputs containing large sequences of nested incomplete HTML entities.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2019-14233",
"description": "An issue was discovered in Django 1.11.x before 1.11.23, 2.1.x before 2.1.11, and 2.2.x before 2.2.4. Due to the behaviour of the underlying HTMLParser, django.utils.html.strip_tags would be extremely slow to evaluate certain inputs containing large sequences of nested incomplete HTML entities.",
"id": "GSD-2019-14233",
"references": [
"https://www.suse.com/security/cve/CVE-2019-14233.html",
"https://www.debian.org/security/2019/dsa-4498",
"https://access.redhat.com/errata/RHSA-2020:4390",
"https://access.redhat.com/errata/RHSA-2020:1324",
"https://ubuntu.com/security/CVE-2019-14233",
"https://security.archlinux.org/CVE-2019-14233"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2019-14233"
],
"details": "An issue was discovered in Django 1.11.x before 1.11.23, 2.1.x before 2.1.11, and 2.2.x before 2.2.4. Due to the behaviour of the underlying HTMLParser, django.utils.html.strip_tags would be extremely slow to evaluate certain inputs containing large sequences of nested incomplete HTML entities.",
"id": "GSD-2019-14233",
"modified": "2023-12-13T01:23:52.909177Z",
"schema_version": "1.4.0"
}
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"gitlab.com": {
"advisories": [
{
"affected_range": "\u003e=1.11,\u003c1.11.23||\u003e=2.1,\u003c2.1.11||\u003e=2.2,\u003c2.2.4",
"affected_versions": "All versions starting from 1.11 before 1.11.23, all versions starting from 2.1 before 2.1.11, all versions starting from 2.2 before 2.2.4",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"cvss_v3": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"cwe_ids": [
"CWE-1035",
"CWE-400",
"CWE-937"
],
"date": "2019-08-12",
"description": "Due to the behaviour of the underlying HTMLParser, `django.utils.html.strip_tags` would be extremely slow to evaluate certain inputs containing large sequences of nested incomplete HTML entities.",
"fixed_versions": [
"1.11.23",
"2.1.11",
"2.2.4"
],
"identifier": "CVE-2019-14233",
"identifiers": [
"CVE-2019-14233"
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"not_impacted": "All versions before 1.11, all versions starting from 1.11.23 before 2.1, all versions starting from 2.1.11 before 2.2, all versions starting from 2.2.4",
"package_slug": "pypi/Django",
"pubdate": "2019-08-02",
"solution": "Upgrade to versions 1.11.23, 2.1.11, 2.2.4 or above.",
"title": "Improper Input Validation",
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"https://docs.djangoproject.com/en/dev/releases/security/",
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"uuid": "4be2dbd8-301a-48cd-8ffd-db2edf367ac4"
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"impact": {
"baseMetricV2": {
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"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
},
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"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.0"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2020-08-24T17:37Z",
"publishedDate": "2019-08-02T15:15Z"
}
}
}
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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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