FKIE_CVE-2022-25613
Vulnerability from fkie_nvd - Published: 2022-04-04 20:15 - Updated: 2026-06-17 04:33
Severity
4.1 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:N/I:L/A:N
5.4 (Medium) - CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N
5.4 (Medium) - CVSS:3.1/
Summary
Authenticated Persistent Cross-Site Scripting (XSS) vulnerability in FV Flowplayer Video Player (WordPress plugin) versions <= 7.5.18.727 via &fv_wp_flowplayer_field_splash parameter.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| foliovision | fv_flowplayer_video_player | * |
{
"affected": [
{
"affectedData": [
{
"product": "FV Flowplayer Video Player (WordPress plugin)",
"vendor": "FolioVision",
"versions": [
{
"lessThanOrEqual": "7.5.18.727",
"status": "affected",
"version": "\u003c= 7.5.18.727",
"versionType": "custom"
}
]
}
],
"source": "audit@patchstack.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:foliovision:fv_flowplayer_video_player:*:*:*:*:*:wordpress:*:*",
"matchCriteriaId": "424CE353-4100-4E67-859F-E51D11CC213F",
"versionEndIncluding": "7.5.18.727",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Authenticated Persistent Cross-Site Scripting (XSS) vulnerability in FV Flowplayer Video Player (WordPress plugin) versions \u003c= 7.5.18.727 via \u0026fv_wp_flowplayer_field_splash parameter."
},
{
"lang": "es",
"value": "Una vulnerabilidad de tipo Cross-Site Scripting (XSS) Persistente Autenticada en FV Flowplayer Video Player (plugin de WordPress) versiones anteriores a 7.5.18.727 incluy\u00e9ndola, por medio del par\u00e1metro \u0026amp;fv_wp_flowplayer_field_splash"
}
],
"id": "CVE-2022-25613",
"lastModified": "2026-06-17T04:33:46.347",
"metrics": {
"cvssMetricV2": [
{
"acInsufInfo": false,
"baseSeverity": "LOW",
"cvssData": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "SINGLE",
"availabilityImpact": "NONE",
"baseScore": 3.5,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:S/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 6.8,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"source": "nvd@nist.gov",
"type": "Primary",
"userInteractionRequired": true
}
],
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 4.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "NONE",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:N/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 1.4,
"source": "audit@patchstack.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 2.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2022-25613",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-02-20T19:32:23.096341Z",
"version": "2.0.3"
}
}
]
},
"published": "2022-04-04T20:15:10.677",
"references": [
{
"source": "audit@patchstack.com",
"tags": [
"Third Party Advisory"
],
"url": "https://patchstack.com/database/vulnerability/fv-wordpress-flowplayer/wordpress-fv-flowplayer-video-player-plugin-7-5-18-727-authenticated-persistent-cross-site-scripting-xss-vulnerability"
},
{
"source": "audit@patchstack.com",
"tags": [
"Product",
"Third Party Advisory"
],
"url": "https://wordpress.org/plugins/fv-wordpress-flowplayer/#developers"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Third Party Advisory"
],
"url": "https://patchstack.com/database/vulnerability/fv-wordpress-flowplayer/wordpress-fv-flowplayer-video-player-plugin-7-5-18-727-authenticated-persistent-cross-site-scripting-xss-vulnerability"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Product",
"Third Party Advisory"
],
"url": "https://wordpress.org/plugins/fv-wordpress-flowplayer/#developers"
}
],
"sourceIdentifier": "audit@patchstack.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "audit@patchstack.com",
"type": "Secondary"
},
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"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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