FKIE_CVE-2026-96960
Vulnerability from fkie_nvd - Published: 2026-10-13 19:22 - Updated: 2026-10-16 19:32
Severity
Summary
Asymmetric resource consumption (amplification) in .NET allows an unauthorized attacker to deny service over a network.
References
| URL | Tags | ||
|---|---|---|---|
| secure@microsoft.com | https://msrc.microsoft.com/update-guide/vulnerability/CVE-2026-96960 | Vendor Advisory |
Impacted products
{
"affected": [
{
"affectedData": [
{
"platforms": [
"Windows 11 version 26H1",
"Windows Server 2012",
"Windows Server 2012 R2"
],
"product": "Microsoft .NET Framework 3.5",
"vendor": "Microsoft",
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"lessThan": "2.0.50727.9188 AND 3.0.30729.9171",
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}
]
},
{
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"Windows Server 2016",
"Windows Server 2019"
],
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"vendor": "Microsoft",
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"status": "affected",
"version": "3.0.0.0",
"versionType": "custom"
}
]
},
{
"platforms": [
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],
"product": "Microsoft .NET Framework 3.5 AND 4.7.2",
"vendor": "Microsoft",
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{
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],
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"Windows Server 2022",
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],
"product": "System.Security.Cryptography.Xml",
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"baseScore": 7.5,
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"version": "2.0.3"
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}
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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 |
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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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