BREW-COPYPARTY-CVE-2009-5013 (GHSA-8GV6-X88P-3F6H)
Vulnerability from osv_homebrew – Published: 2026-08-13 16:41 – Updated: 2026-09-09 23:48 – Source website
VLAI
Summary
Uncontrolled Resource Consumption in pyftpdlib
Details
Memory leak in the on_dtp_close function in ftpserver.py in pyftpdlib before 0.5.2 allows remote authenticated users to cause a denial of service (memory consumption) by sending a QUIT command during a data transfer.
Severity
References
{
"affected": [
{
"ecosystem_specific": {
"fix": "bump",
"range_state": "fixed",
"resource": "pyftpdlib",
"resource_purl": "pkg:pypi/pyftpdlib@2.2.0",
"upstream_fixed_in": "0.5.2"
},
"package": {
"ecosystem": "Homebrew",
"name": "copyparty",
"purl": "pkg:brew/copyparty"
},
"ranges": [
{
"events": [
{
"introduced": "0"
},
{
"fixed": "1.20.20"
}
],
"type": "ECOSYSTEM"
}
]
}
],
"database_specific": {
"confidence": "high",
"source": "matched",
"strategy": "registry",
"upstream_evidence": [
{
"ecosystem": "PyPI",
"key": "pkg:pypi/pyftpdlib@2.2.0",
"name": "pyftpdlib",
"resource": "pyftpdlib",
"strategy": "registry",
"subject_version": "2.2.0"
}
]
},
"details": "Memory leak in the on_dtp_close function in ftpserver.py in pyftpdlib before 0.5.2 allows remote authenticated users to cause a denial of service (memory consumption) by sending a QUIT command during a data transfer.",
"id": "BREW-copyparty-CVE-2009-5013",
"modified": "2026-09-09T23:48:44Z",
"published": "2026-08-13T16:41:06Z",
"references": [
{
"type": "ADVISORY",
"url": "https://nvd.nist.gov/vuln/detail/CVE-2009-5013"
},
{
"type": "PACKAGE",
"url": "https://github.com/giampaolo/pyftpdlib"
},
{
"type": "WEB",
"url": "https://github.com/pypa/advisory-database/tree/main/vulns/pyftpdlib/PYSEC-2010-10.yaml"
},
{
"type": "WEB",
"url": "http://code.google.com/p/pyftpdlib/issues/detail?id=119"
},
{
"type": "WEB",
"url": "http://code.google.com/p/pyftpdlib/source/browse/trunk/HISTORY"
},
{
"type": "WEB",
"url": "http://code.google.com/p/pyftpdlib/source/detail?r=615"
},
{
"type": "WEB",
"url": "http://code.google.com/p/pyftpdlib/source/diff?spec=svn615\u0026r=615\u0026format=side\u0026path=/trunk/pyftpdlib/ftpserver.py"
}
],
"schema_version": "1.7.3",
"severity": [
{
"score": "CVSS:4.0/AV:N/AC:H/AT:N/PR:L/UI:N/VC:N/VI:N/VA:H/SC:N/SI:N/SA:N",
"type": "CVSS_V4"
}
],
"summary": "Uncontrolled Resource Consumption in pyftpdlib",
"upstream": [
"GHSA-8gv6-x88p-3f6h",
"CVE-2009-5013",
"PYSEC-2010-10"
]
}
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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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