GSD-2021-3116
Vulnerability from gsd - Updated: 2023-12-13 01:23Details
before_upstream_connection in AuthPlugin in http/proxy/auth.py in proxy.py before 2.3.1 accepts incorrect Proxy-Authorization header data because of a boolean confusion (and versus or).
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2021-3116",
"description": "before_upstream_connection in AuthPlugin in http/proxy/auth.py in proxy.py before 2.3.1 accepts incorrect Proxy-Authorization header data because of a boolean confusion (and versus or).",
"id": "GSD-2021-3116"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2021-3116"
],
"details": "before_upstream_connection in AuthPlugin in http/proxy/auth.py in proxy.py before 2.3.1 accepts incorrect Proxy-Authorization header data because of a boolean confusion (and versus or).",
"id": "GSD-2021-3116",
"modified": "2023-12-13T01:23:35.187350Z",
"schema_version": "1.4.0"
}
},
"namespaces": {
"cve.org": {
"CVE_data_meta": {
"ASSIGNER": "cve@mitre.org",
"ID": "CVE-2021-3116",
"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
{
"version_value": "n/a"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
}
},
"data_format": "MITRE",
"data_type": "CVE",
"data_version": "4.0",
"description": {
"description_data": [
{
"lang": "eng",
"value": "before_upstream_connection in AuthPlugin in http/proxy/auth.py in proxy.py before 2.3.1 accepts incorrect Proxy-Authorization header data because of a boolean confusion (and versus or)."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "n/a"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "https://cardaci.xyz/advisories/2021/01/10/proxy.py-2.3.0-broken-basic-authentication/",
"refsource": "MISC",
"url": "https://cardaci.xyz/advisories/2021/01/10/proxy.py-2.3.0-broken-basic-authentication/"
},
{
"name": "https://github.com/abhinavsingh/proxy.py/pull/482/commits/9b00093288237f5073c403f2c4f62acfdfa8ed46",
"refsource": "MISC",
"url": "https://github.com/abhinavsingh/proxy.py/pull/482/commits/9b00093288237f5073c403f2c4f62acfdfa8ed46"
},
{
"name": "https://pypi.org/project/proxy.py/2.3.1/#history",
"refsource": "MISC",
"url": "https://pypi.org/project/proxy.py/2.3.1/#history"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c2.3.1",
"affected_versions": "All versions before 2.3.1",
"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-937"
],
"date": "2021-01-14",
"description": "before_upstream_connection in AuthPlugin in `http/proxy/auth.py` in proxy.py accepts incorrect Proxy-Authorization header data because of a boolean confusion (and versus or).",
"fixed_versions": [
"2.3.1"
],
"identifier": "CVE-2021-3116",
"identifiers": [
"CVE-2021-3116"
],
"not_impacted": "All versions starting from 2.3.1",
"package_slug": "pypi/proxy.py",
"pubdate": "2021-01-11",
"solution": "Upgrade to version 2.3.1 or above.",
"title": "Improper Authorization",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2021-3116"
],
"uuid": "6e8ede65-7b9e-4194-b1cd-fc6163e9b628"
}
]
},
"nvd.nist.gov": {
"cve": {
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:proxy.py_project:proxy.py:*:*:*:*:*:*:*:*",
"matchCriteriaId": "8B9F903B-99CF-482B-A91A-9117B1A7E890",
"versionEndExcluding": "2.3.1",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"descriptions": [
{
"lang": "en",
"value": "before_upstream_connection in AuthPlugin in http/proxy/auth.py in proxy.py before 2.3.1 accepts incorrect Proxy-Authorization header data because of a boolean confusion (and versus or)."
},
{
"lang": "es",
"value": "La funci\u00f3n before_upstream_connection en AuthPlugin en el archivo http/proxy/auth.py en proxy.py versiones anteriores a 2.3.1, acepta datos de encabezado Proxy-Authorization incorrectos debido a una confusi\u00f3n booleana (y versus o)"
}
],
"id": "CVE-2021-3116",
"lastModified": "2024-02-15T21:40:16.967",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"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,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"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,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2021-01-11T05:15:10.987",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://cardaci.xyz/advisories/2021/01/10/proxy.py-2.3.0-broken-basic-authentication/"
},
{
"source": "cve@mitre.org",
"tags": [
"Patch"
],
"url": "https://github.com/abhinavsingh/proxy.py/pull/482/commits/9b00093288237f5073c403f2c4f62acfdfa8ed46"
},
{
"source": "cve@mitre.org",
"tags": [
"Product"
],
"url": "https://pypi.org/project/proxy.py/2.3.1/#history"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-697"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
}
}
}
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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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