GSD-2013-6396
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
The OpenStack Python client library for Swift (python-swiftclient) 1.0 through 1.9.0 does not verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to spoof servers and obtain sensitive information via a crafted certificate.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2013-6396",
"description": "The OpenStack Python client library for Swift (python-swiftclient) 1.0 through 1.9.0 does not verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to spoof servers and obtain sensitive information via a crafted certificate.",
"id": "GSD-2013-6396",
"references": [
"https://www.suse.com/security/cve/CVE-2013-6396.html"
]
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2013-6396"
],
"details": "The OpenStack Python client library for Swift (python-swiftclient) 1.0 through 1.9.0 does not verify X.509 certificates from SSL servers, which allows man-in-the-middle attackers to spoof servers and obtain sensitive information via a crafted certificate.",
"id": "GSD-2013-6396",
"modified": "2023-12-13T01:22:19.521134Z",
"schema_version": "1.4.0"
}
},
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"name": "http://www.openwall.com/lists/oss-security/2014/02/17/7",
"refsource": "MISC",
"url": "http://www.openwall.com/lists/oss-security/2014/02/17/7"
},
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"name": "https://bugs.launchpad.net/python-swiftclient/+bug/1199783",
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},
"gitlab.com": {
"advisories": [
{
"affected_range": "\u003e=1.0,\u003c=1.9.0",
"affected_versions": "All versions starting from 1.0 up to 1.9.0",
"credit": "Thomas Leaman - HP",
"cvss_v2": "AV:N/AC:M/Au:N/C:P/I:P/A:N",
"cwe_ids": [
"CWE-1035",
"CWE-310",
"CWE-937"
],
"date": "2014-02-20",
"description": "Python Swift client fails to properly check certificates during the establishment of HTTPS connections. A remote attacker with access over segments of the network between client and server could potentially set up a man-in-the-middle attack and access the contents of the Swift client\u0027s communication with the server, including any used credentials.",
"fixed_versions": [
"2.0"
],
"identifier": "CVE-2013-6396",
"identifiers": [
"CVE-2013-6396"
],
"not_impacted": "All versions before 1.0, all versions after 1.9.0",
"package_slug": "pypi/python-swiftclient",
"pubdate": "2014-02-18",
"solution": "Upgrade to version 2.0 or above.",
"title": "Missing SSL certificate check",
"urls": [
"https://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2013-6396",
"https://review.openstack.org/#/c/69187"
],
"uuid": "97bca9c5-d609-4198-8b70-110f1bb24b24"
}
]
},
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"accessVector": "NETWORK",
"authentication": "NONE",
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"baseScore": 5.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:N",
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},
"lastModifiedDate": "2014-02-21T00:40Z",
"publishedDate": "2014-02-18T19:55Z"
}
}
}
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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
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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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