FKIE_CVE-2021-3859
Vulnerability from fkie_nvd - Published: 2022-08-26 16:15 - Updated: 2026-06-17 04:05
Severity
Summary
A flaw was found in Undertow that tripped the client-side invocation timeout with certain calls made over HTTP2. This flaw allows an attacker to carry out denial of service attacks.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| redhat | jboss_enterprise_application_platform | 7.3 | |
| redhat | jboss_enterprise_application_platform | 7.4 | |
| redhat | single_sign-on | 7.4.10 | |
| redhat | single_sign-on | 7.5.1 | |
| redhat | undertow | * | |
| netapp | cloud_secure_agent | - | |
| netapp | oncommand_insight | - | |
| netapp | oncommand_workflow_automation | - |
{
"affected": [
{
"affectedData": [
{
"product": "undertow",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "Fixed in 2.2.15.Final"
}
]
}
],
"source": "secalert@redhat.com"
}
],
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A flaw was found in Undertow that tripped the client-side invocation timeout with certain calls made over HTTP2. This flaw allows an attacker to carry out denial of service attacks."
},
{
"lang": "es",
"value": "Se ha encontrado un fallo en Undertow que dispara el tiempo de espera de la invocaci\u00f3n del lado del cliente con determinadas llamadas realizadas a trav\u00e9s de HTTP2. Este fallo permite a un atacante realizar ataques de denegaci\u00f3n de servicio."
}
],
"id": "CVE-2021-3859",
"lastModified": "2026-06-17T04:05:54.580",
"metrics": {
"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": "2022-08-26T16:15:09.623",
"references": [
{
"source": "secalert@redhat.com",
"tags": [
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],
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},
{
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},
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},
{
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"tags": [
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"url": "https://security.netapp.com/advisory/ntap-20221201-0004/"
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},
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"url": "https://security.netapp.com/advisory/ntap-20221201-0004/"
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],
"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-214"
}
],
"source": "secalert@redhat.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-668"
}
],
"source": "nvd@nist.gov",
"type": "Secondary"
}
]
}
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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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