FKIE_CVE-2019-1137
Vulnerability from fkie_nvd - Published: 2019-07-15 19:15 - Updated: 2026-06-17 02:27
Severity
Summary
A cross-site-scripting (XSS) vulnerability exists when Microsoft Exchange Server does not properly sanitize a specially crafted web request to an affected Exchange server, aka 'Microsoft Exchange Server Spoofing Vulnerability'.
References
Impacted products
{
"affected": [
{
"affectedData": [
{
"product": "Microsoft Exchange Server 2016",
"vendor": "Microsoft",
"versions": [
{
"status": "affected",
"version": "Cumulative Update 12"
},
{
"status": "affected",
"version": "Cumulative Update 13"
}
]
},
{
"product": "Microsoft Exchange Server 2019",
"vendor": "Microsoft",
"versions": [
{
"status": "affected",
"version": "Cumulative Update 1"
},
{
"status": "affected",
"version": "Cumulative Update 2"
}
]
},
{
"product": "Microsoft Exchange Server 2013",
"vendor": "Microsoft",
"versions": [
{
"status": "affected",
"version": "Cumulative Update 23"
}
]
}
],
"source": "secure@microsoft.com"
}
],
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "A cross-site-scripting (XSS) vulnerability exists when Microsoft Exchange Server does not properly sanitize a specially crafted web request to an affected Exchange server, aka \u0027Microsoft Exchange Server Spoofing Vulnerability\u0027."
},
{
"lang": "es",
"value": "Se presenta una vulnerabilidad de tipo Cross-site Scripting (XSS) cuando Microsoft Exchange Server no sanea apropiadamente una petici\u00f3n web especialmente dise\u00f1ada para un servidor de Exchange afectado, tambi\u00e9n se conoce como \u0027Microsoft Exchange Server Spoofing Vulnerability\u0027."
}
],
"id": "CVE-2019-1137",
"lastModified": "2026-06-17T02:27:54.283",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
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"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
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},
"published": "2019-07-15T19:15:21.327",
"references": [
{
"source": "secure@microsoft.com",
"tags": [
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"vulnStatus": "Modified",
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"description": [
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"value": "CWE-79"
}
],
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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 |
|---|
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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