FKIE_CVE-2019-1000022
Vulnerability from fkie_nvd - Published: 2019-02-04 21:29 - Updated: 2026-06-17 02:09
Severity
Summary
Taoensso Sente version Prior to version 1.14.0 contains a Cross Site Request Forgery (CSRF) vulnerability in WebSocket handshake endpoint that can result in CSRF attack, possible leak of anti-CSRF token. This attack appears to be exploitable via malicious request against WebSocket handshake endpoint. This vulnerability appears to have been fixed in 1.14.0 and later.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://github.com/ptaoussanis/sente/issues/137 | Exploit, Issue Tracking, Third Party Advisory | |
| af854a3a-2127-422b-91ae-364da2661108 | https://github.com/ptaoussanis/sente/issues/137 | Exploit, Issue Tracking, Third Party Advisory |
{
"affected": [
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"affectedData": [
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"product": "n/a",
"vendor": "n/a",
"versions": [
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"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
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"nodes": [
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"criteria": "cpe:2.3:a:taoensso:sente:*:*:*:*:*:*:*:*",
"matchCriteriaId": "DF256834-E67C-4FC1-84E2-91757DD429CF",
"versionEndExcluding": "1.14.0",
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Taoensso Sente version Prior to version 1.14.0 contains a Cross Site Request Forgery (CSRF) vulnerability in WebSocket handshake endpoint that can result in CSRF attack, possible leak of anti-CSRF token. This attack appears to be exploitable via malicious request against WebSocket handshake endpoint. This vulnerability appears to have been fixed in 1.14.0 and later."
},
{
"lang": "es",
"value": "Taoensso Sente, en versiones anteriores a la 1.14.0, contiene una vulnerabilidad Cross-Site Request Forgery (CSRF) en el endpoint de la negociaci\u00f3n de WebSocket que puede resultar en un ataque CSRF y la posible filtraci\u00f3n del token anti-CSRF. Este ataque parece ser explotable mediante una petici\u00f3n maliciosa contra un endpoint de negociaci\u00f3n de WebSocket. La vulnerabilidad parece haber sido solucionada en las versiones 1.14.0 y siguientes."
}
],
"id": "CVE-2019-1000022",
"lastModified": "2026-06-17T02:09:29.797",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "MEDIUM",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "PARTIAL",
"baseScore": 6.8,
"confidentialityImpact": "PARTIAL",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:P/I:P/A:P",
"version": "2.0"
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"impactScore": 6.4,
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"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:H/A:H",
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"published": "2019-02-04T21:29:01.567",
"references": [
{
"source": "cve@mitre.org",
"tags": [
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"url": "https://github.com/ptaoussanis/sente/issues/137"
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"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Modified",
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"value": "CWE-352"
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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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