FKIE_CVE-2020-10705
Vulnerability from fkie_nvd - Published: 2020-06-10 20:15 - Updated: 2026-06-17 02:48
Severity
Summary
A flaw was discovered in Undertow in versions before Undertow 2.1.1.Final where certain requests to the "Expect: 100-continue" header may cause an out of memory error. This flaw may potentially lead to a denial of service.
References
| URL | Tags | ||
|---|---|---|---|
| secalert@redhat.com | https://bugzilla.redhat.com/show_bug.cgi?id=1803241 | Issue Tracking, Vendor Advisory | |
| secalert@redhat.com | https://security.netapp.com/advisory/ntap-20220210-0014/ | Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://bugzilla.redhat.com/show_bug.cgi?id=1803241 | Issue Tracking, Vendor Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://security.netapp.com/advisory/ntap-20220210-0014/ | Third Party Advisory |
Impacted products
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"affected": [
{
"affectedData": [
{
"product": "Undertow",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "Versions before Undertow 2.1.1.Final."
}
]
}
],
"source": "secalert@redhat.com"
}
],
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"cveTags": [],
"descriptions": [
{
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"value": "A flaw was discovered in Undertow in versions before Undertow 2.1.1.Final where certain requests to the \"Expect: 100-continue\" header may cause an out of memory error. This flaw may potentially lead to a denial of service."
},
{
"lang": "es",
"value": "Se detect\u00f3 una fallo en Undertow versiones anteriores a Undertow 2.1.1.Final, donde ciertas peticiones al encabezado \"Expect: 100-continue\" pueden causar un error de falta de memoria. Este defecto puede conllevar potencialmente a una denegaci\u00f3n de servicio"
}
],
"id": "CVE-2020-10705",
"lastModified": "2026-06-17T02:48:17.400",
"metrics": {
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"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "LOW",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 5.0,
"confidentialityImpact": "NONE",
"integrityImpact": "NONE",
"vectorString": "AV:N/AC:L/Au:N/C:N/I:N/A:P",
"version": "2.0"
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"exploitabilityScore": 10.0,
"impactScore": 2.9,
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"availabilityImpact": "HIGH",
"baseScore": 7.5,
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"integrityImpact": "NONE",
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"published": "2020-06-10T20:15:12.233",
"references": [
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"tags": [
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],
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"sourceIdentifier": "secalert@redhat.com",
"vulnStatus": "Modified",
"weaknesses": [
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"lang": "en",
"value": "CWE-770"
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"source": "nvd@nist.gov",
"type": "Primary"
}
]
}
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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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