GSD-2020-7658
Vulnerability from gsd - Updated: 2023-12-13 01:21Details
meinheld prior to 1.0.2 is vulnerable to HTTP Request Smuggling. HTTP pipelining issues and request smuggling attacks might be possible due to incorrect Content-Length and Transfer encoding header parsing.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2020-7658",
"description": "meinheld prior to 1.0.2 is vulnerable to HTTP Request Smuggling. HTTP pipelining issues and request smuggling attacks might be possible due to incorrect Content-Length and Transfer encoding header parsing.",
"id": "GSD-2020-7658"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2020-7658"
],
"details": "meinheld prior to 1.0.2 is vulnerable to HTTP Request Smuggling. HTTP pipelining issues and request smuggling attacks might be possible due to incorrect Content-Length and Transfer encoding header parsing.",
"id": "GSD-2020-7658",
"modified": "2023-12-13T01:21:51.921968Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "meinheld",
"version": {
"version_data": [
{
"version_value": "All versions prior to 1.0.2"
}
]
}
}
]
},
"vendor_name": "n/a"
}
]
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"description": {
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"value": "meinheld prior to 1.0.2 is vulnerable to HTTP Request Smuggling. HTTP pipelining issues and request smuggling attacks might be possible due to incorrect Content-Length and Transfer encoding header parsing."
}
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"lang": "eng",
"value": "HTTP Request Smuggling"
}
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},
"references": {
"reference_data": [
{
"name": "https://github.com/mopemope/meinheld/blob/master/CHANGES.rst,",
"refsource": "MISC",
"url": "https://github.com/mopemope/meinheld/blob/master/CHANGES.rst,"
},
{
"name": "https://snyk.io/vuln/SNYK-PYTHON-MEINHELD-569140",
"refsource": "MISC",
"url": "https://snyk.io/vuln/SNYK-PYTHON-MEINHELD-569140"
}
]
}
},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003c1.0.2",
"affected_versions": "All versions before 1.0.2",
"cvss_v2": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"cvss_v3": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-444",
"CWE-937"
],
"date": "2020-05-28",
"description": "meinheld is vulnerable to HTTP Request Smuggling. HTTP pipelining issues and request smuggling attacks might be possible due to incorrect `Content-Length` and `Transfer-Encoding` header parsing.",
"fixed_versions": [
"1.0.2"
],
"identifier": "CVE-2020-7658",
"identifiers": [
"CVE-2020-7658"
],
"not_impacted": "All versions starting from 1.0.2",
"package_slug": "pypi/meinheld",
"pubdate": "2020-05-22",
"solution": "Upgrade to version 1.0.2 or above.",
"title": "Inconsistent Interpretation of HTTP Requests (HTTP Request Smuggling)",
"urls": [
"https://nvd.nist.gov/vuln/detail/CVE-2020-7658"
],
"uuid": "c258cea4-19d6-44d6-9450-acd8c0ca2696"
}
]
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
{
"children": [],
"cpe_match": [
{
"cpe23Uri": "cpe:2.3:a:meinheld:meinheld:*:*:*:*:*:*:*:*",
"cpe_name": [],
"versionEndExcluding": "1.0.2",
"vulnerable": true
}
],
"operator": "OR"
}
]
},
"cve": {
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"ID": "CVE-2020-7658"
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"description": {
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"value": "meinheld prior to 1.0.2 is vulnerable to HTTP Request Smuggling. HTTP pipelining issues and request smuggling attacks might be possible due to incorrect Content-Length and Transfer encoding header parsing."
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"problemtype": {
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},
"references": {
"reference_data": [
{
"name": "https://github.com/mopemope/meinheld/blob/master/CHANGES.rst,",
"refsource": "MISC",
"tags": [
"Broken Link"
],
"url": "https://github.com/mopemope/meinheld/blob/master/CHANGES.rst,"
},
{
"name": "https://snyk.io/vuln/SNYK-PYTHON-MEINHELD-569140",
"refsource": "MISC",
"tags": [
"Patch",
"Release Notes",
"Third Party Advisory"
],
"url": "https://snyk.io/vuln/SNYK-PYTHON-MEINHELD-569140"
}
]
}
},
"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"
},
"exploitabilityScore": 2.8,
"impactScore": 2.7
}
},
"lastModifiedDate": "2020-05-28T15:59Z",
"publishedDate": "2020-05-22T16:15Z"
}
}
}
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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.
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- Patched: The vulnerability was observed as successfully patched by the user who reported the sighting.
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- 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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