GSD-2021-33571
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
In Django 2.2 before 2.2.24, 3.x before 3.1.12, and 3.2 before 3.2.4, URLValidator, validate_ipv4_address, and validate_ipv46_address do not prohibit leading zero characters in octal literals. This may allow a bypass of access control that is based on IP addresses. (validate_ipv4_address and validate_ipv46_address are unaffected with Python 3.9.5+..) .
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-33571",
"description": "In Django 2.2 before 2.2.24, 3.x before 3.1.12, and 3.2 before 3.2.4, URLValidator, validate_ipv4_address, and validate_ipv46_address do not prohibit leading zero characters in octal literals. This may allow a bypass of access control that is based on IP addresses. (validate_ipv4_address and validate_ipv46_address are unaffected with Python 3.9.5+..) .",
"id": "GSD-2021-33571",
"references": [
"https://www.suse.com/security/cve/CVE-2021-33571.html",
"https://access.redhat.com/errata/RHSA-2021:5070",
"https://access.redhat.com/errata/RHSA-2021:4702",
"https://access.redhat.com/errata/RHSA-2021:3490",
"https://ubuntu.com/security/CVE-2021-33571",
"https://advisories.mageia.org/CVE-2021-33571.html",
"https://security.archlinux.org/CVE-2021-33571",
"https://linux.oracle.com/cve/CVE-2021-33571.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-33571"
],
"details": "In Django 2.2 before 2.2.24, 3.x before 3.1.12, and 3.2 before 3.2.4, URLValidator, validate_ipv4_address, and validate_ipv46_address do not prohibit leading zero characters in octal literals. This may allow a bypass of access control that is based on IP addresses. (validate_ipv4_address and validate_ipv46_address are unaffected with Python 3.9.5+..) .",
"id": "GSD-2021-33571",
"modified": "2023-12-13T01:23:18.922862Z",
"schema_version": "1.4.0"
}
},
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"gitlab.com": {
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{
"affected_range": "\u003e=2.2,\u003c2.2.24||\u003e=3.0,\u003c3.1.12||\u003e=3.2,\u003c3.2.4",
"affected_versions": "All versions starting from 2.2 before 2.2.24, all versions starting from 3.0 before 3.1.12, all versions starting from 3.2 before 3.2.4",
"cvss_v2": "AV:N/AC:L/Au:N/C:N/I:P/A:N",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-918",
"CWE-937"
],
"date": "2022-02-22",
"description": "In Django, URLValidator, validate_ipv4_address, and validate_ipv46_address do not prohibit leading zero characters in octal literals. This may allow a bypass of access control that is based on IP addresses.",
"fixed_versions": [
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"3.1.12",
"3.2.4"
],
"identifier": "CVE-2021-33571",
"identifiers": [
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"not_impacted": "All versions before 2.2, all versions starting from 2.2.24 before 3.0, all versions starting from 3.1.12 before 3.2, all versions starting from 3.2.4",
"package_slug": "pypi/Django",
"pubdate": "2021-06-08",
"solution": "Upgrade to versions 2.2.24, 3.1.12, 3.2.4 or above.",
"title": "Server-Side Request Forgery (SSRF)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-33571",
"https://docs.djangoproject.com/en/3.2/releases/security/",
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"uuid": "a4dfbbe9-e572-4de3-9c64-874d647971bb"
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"impact": {
"baseMetricV2": {
"acInsufInfo": false,
"cvssV2": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:P/A:N",
"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": "NONE",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "HIGH",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:H/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6
}
},
"lastModifiedDate": "2023-12-07T22:15Z",
"publishedDate": "2021-06-08T18:15Z"
}
}
}
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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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