CVE-2020-5933 (GCVE-0-2020-5933)
Vulnerability from cvelistv5 – Published: 2020-10-29 15:11 – Updated: 2024-08-04 08:47
VLAI
EPSS
VEX
Summary
On versions 15.1.0-15.1.0.5, 14.1.0-14.1.2.3, 13.1.0-13.1.3.4, 12.1.0-12.1.5.1, and 11.6.1-11.6.5.1, when a BIG-IP system that has a virtual server configured with an HTTP compression profile processes compressed HTTP message payloads that require deflation, a Slowloris-style attack can trigger an out-of-memory condition on the BIG-IP system.
Severity
7.5 (High)
CWE
- DoS
Assigner
References
1 reference
| URL | Tags |
|---|---|
| https://support.f5.com/csp/article/K26244025 | x_refsource_MISC |
Impacted products
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"matchCriteriaId": "DD3A8B31-C29E-4F5C-A95E-DB3F88E83A6D",
"versionEndExcluding": "14.1.2.4",
"versionStartIncluding": "14.1.0",
"vulnerable": true
},
{
"criteria": "cpe:2.3:a:f5:big-ip_policy_enforcement_manager:*:*:*:*:*:*:*:*",
"matchCriteriaId": "240E6558-C486-4FEB-A7AC-CCB3692D4331",
"versionEndExcluding": "15.1.1",
"versionStartIncluding": "15.1.0",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "On versions 15.1.0-15.1.0.5, 14.1.0-14.1.2.3, 13.1.0-13.1.3.4, 12.1.0-12.1.5.1, and 11.6.1-11.6.5.1, when a BIG-IP system that has a virtual server configured with an HTTP compression profile processes compressed HTTP message payloads that require deflation, a Slowloris-style attack can trigger an out-of-memory condition on the BIG-IP system."
},
{
"lang": "es",
"value": "En las versiones 15.1.0-15.1.0.5, 14.1.0-14.1.2.3, 13.1.0-13.1.3.4, 12.1.0-12.1.5.1 y 11.6.1-11.6.5.1, cuando un sistema BIG-IP que contiene un servidor virtual configurado con un perfil de compresi\u00f3n HTTP procesa cargas \u00fatiles de mensajes HTTP comprimidos que requieren deflaci\u00f3n, un ataque de tipo Slowloris-style puede desencadenar una condici\u00f3n sin memoria en el sistema BIG-IP"
}
],
"id": "CVE-2020-5933",
"lastModified": "2024-11-21T05:34:51.310",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "HIGH",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "COMPLETE",
"baseScore": 7.8,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:C",
"version": "2.0"
},
"exploitabilityScore": 10.0,
"impactScore": 6.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": false
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "HIGH",
"baseScore": 7.5,
"baseSeverity": "HIGH",
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H",
"version": "3.1"
},
"exploitabilityScore": 3.9,
"impactScore": 3.6,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2020-10-29T16:15:15.510",
"references": [
{
"source": "f5sirt@f5.com",
"tags": [
"Vendor Advisory"
],
"url": "https://support.f5.com/csp/article/K26244025"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Vendor Advisory"
],
"url": "https://support.f5.com/csp/article/K26244025"
}
],
"sourceIdentifier": "f5sirt@f5.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "NVD-CWE-noinfo"
}
],
"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
},
"redhat_vex": {
"current_release_date": "2025-05-22T16:44:07+00:00",
"cve": "CVE-2020-5933",
"id": "CVE-2020-5933",
"initial_release_date": "2020-01-01T00:00:00+00:00",
"product_status:known_not_affected": "1",
"source": "Red Hat CSAF VEX",
"status": "final",
"title": "CVE-2020-5933",
"url": "https://security.access.redhat.com/data/csaf/v2/vex/2020/cve-2020-5933.json",
"version": "3"
}
}
}
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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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