CERTFR-2020-AVI-255
Vulnerability from certfr_avis - Published: - Updated:
De multiples vulnérabilités ont été découvertes dans F5 BIG-IP. Certaines d'entre elles permettent à un attaquant de provoquer un déni de service à distance, une atteinte à l'intégrité des données et une atteinte à la confidentialité des données.
Solution
Se référer au bulletin de sécurité de l'éditeur pour l'obtention des correctifs (cf. section Documentation).
NoneImpacted products
| Vendor | Product | Description | ||
|---|---|---|---|---|
| F5 | BIG-IP | BIG-IP 14.x versions antérieures à 14.1.2.4 | ||
| F5 | BIG-IP | BIG-IP 15.x versions antérieures à 15.1.0.2 et 15.0.1.3 | ||
| F5 | BIG-IP | BIG-IP 13.x toutes versions | ||
| F5 | BIG-IP | BIG-IP 12.x versions antérieures à 12.1.5.1 | ||
| F5 | BIG-IP | BIG-IP produit APM 14.x versions antérieures à 14.0.1.1 | ||
| F5 | BIG-IP | BIG-IP 11.x toutes versions |
References
| Title | Publication Time | Tags | ||||||
|---|---|---|---|---|---|---|---|---|
|
||||||||
{
"$ref": "https://www.cert.ssi.gouv.fr/openapi.json",
"affected_systems": [
{
"description": "BIG-IP 14.x versions ant\u00e9rieures \u00e0 14.1.2.4",
"product": {
"name": "BIG-IP",
"vendor": {
"name": "F5",
"scada": false
}
}
},
{
"description": "BIG-IP 15.x versions ant\u00e9rieures \u00e0 15.1.0.2 et 15.0.1.3",
"product": {
"name": "BIG-IP",
"vendor": {
"name": "F5",
"scada": false
}
}
},
{
"description": "BIG-IP 13.x toutes versions",
"product": {
"name": "BIG-IP",
"vendor": {
"name": "F5",
"scada": false
}
}
},
{
"description": "BIG-IP 12.x versions ant\u00e9rieures \u00e0 12.1.5.1",
"product": {
"name": "BIG-IP",
"vendor": {
"name": "F5",
"scada": false
}
}
},
{
"description": "BIG-IP produit APM 14.x versions ant\u00e9rieures \u00e0 14.0.1.1",
"product": {
"name": "BIG-IP",
"vendor": {
"name": "F5",
"scada": false
}
}
},
{
"description": "BIG-IP 11.x toutes versions",
"product": {
"name": "BIG-IP",
"vendor": {
"name": "F5",
"scada": false
}
}
}
],
"affected_systems_content": null,
"content": "## Solution\n\nSe r\u00e9f\u00e9rer au bulletin de s\u00e9curit\u00e9 de l\u0027\u00e9diteur pour l\u0027obtention des\ncorrectifs (cf. section Documentation).\n",
"cves": [
{
"name": "CVE-2020-5876",
"url": "https://www.cve.org/CVERecord?id=CVE-2020-5876"
},
{
"name": "CVE-2020-5871",
"url": "https://www.cve.org/CVERecord?id=CVE-2020-5871"
},
{
"name": "CVE-2020-5874",
"url": "https://www.cve.org/CVERecord?id=CVE-2020-5874"
},
{
"name": "CVE-2020-5888",
"url": "https://www.cve.org/CVERecord?id=CVE-2020-5888"
},
{
"name": "CVE-2020-5875",
"url": "https://www.cve.org/CVERecord?id=CVE-2020-5875"
},
{
"name": "CVE-2020-5884",
"url": "https://www.cve.org/CVERecord?id=CVE-2020-5884"
},
{
"name": "CVE-2020-5889",
"url": "https://www.cve.org/CVERecord?id=CVE-2020-5889"
},
{
"name": "CVE-2020-5880",
"url": "https://www.cve.org/CVERecord?id=CVE-2020-5880"
}
],
"links": [
{
"title": "Bulletin de s\u00e9curit\u00e9 F5 du 30 avril 2020",
"url": "https://support.f5.com/csp/article/K46901953?utm_source=f5support\u0026utm_medium=RSS"
}
],
"reference": "CERTFR-2020-AVI-255",
"revisions": [
{
"description": "Version initiale",
"revision_date": "2020-04-30T00:00:00.000000"
}
],
"risks": [
{
"description": "D\u00e9ni de service \u00e0 distance"
},
{
"description": "Injection de code indirecte \u00e0 distance (XSS)"
},
{
"description": "Atteinte \u00e0 l\u0027int\u00e9grit\u00e9 des donn\u00e9es"
},
{
"description": "Atteinte \u00e0 la confidentialit\u00e9 des donn\u00e9es"
}
],
"summary": "De multiples vuln\u00e9rabilit\u00e9s ont \u00e9t\u00e9 d\u00e9couvertes dans F5 BIG-IP.\nCertaines d\u0027entre elles permettent \u00e0 un attaquant de provoquer un d\u00e9ni\nde service \u00e0 distance, une atteinte \u00e0 l\u0027int\u00e9grit\u00e9 des donn\u00e9es et une\natteinte \u00e0 la confidentialit\u00e9 des donn\u00e9es.\n",
"title": "Multiples vuln\u00e9rabilit\u00e9s dans F5 BIG-IP",
"vendor_advisories": [
{
"published_at": null,
"title": "Bulletin de s\u00e9curit\u00e9 F5 du 30 avril 2020",
"url": null
}
]
}
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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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