FKIE_CVE-2025-46547
Vulnerability from fkie_nvd - Published: 2025-04-25 03:15 - Updated: 2026-06-17 09:26
Severity
5.4 (Medium) - CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N
6.1 (Medium) - CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N
6.1 (Medium) - CVSS:3.1/
Summary
In Sherpa Orchestrator 141851, the web application lacks protection against CSRF attacks, with resultant effects of an attacker conducting XSS attacks, adding a new user or role, or exploiting a SQL injection issue.
References
| URL | Tags | ||
|---|---|---|---|
| cve@mitre.org | https://deiteriy.com | Not Applicable | |
| cve@mitre.org | https://gist.github.com/ArtemBrylev/9af206c46d7505db03ad6fcd9fc46f7f | Third Party Advisory | |
| cve@mitre.org | https://sherparpa.com | Product | |
| cve@mitre.org | https://twitter.com/ArtyomBrylev | Not Applicable |
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| sherparpa | sherpa_orchestrator | 141851 |
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unknown",
"product": "Orchestrator",
"vendor": "Sherpa",
"versions": [
{
"status": "affected",
"version": "141851",
"versionType": "custom"
}
]
}
],
"source": "cve@mitre.org"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:sherparpa:sherpa_orchestrator:141851:*:*:*:*:*:*:*",
"matchCriteriaId": "7B96DA20-9284-4FEF-957C-211EB3F22F76",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "In Sherpa Orchestrator 141851, the web application lacks protection against CSRF attacks, with resultant effects of an attacker conducting XSS attacks, adding a new user or role, or exploiting a SQL injection issue."
},
{
"lang": "es",
"value": "En Sherpa Orchestrator 141851, la aplicaci\u00f3n web carece de protecci\u00f3n contra ataques CSRF, con las consecuencias resultantes de que un atacante realice ataques XSS, agregue un nuevo usuario o rol, o explote un problema de inyecci\u00f3n SQL."
}
],
"id": "CVE-2025-46547",
"lastModified": "2026-06-17T09:26:36.420",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "HIGH",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:H/PR:N/UI:N/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.2,
"impactScore": 2.7,
"source": "cve@mitre.org",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.1,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "NONE",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 2.7,
"source": "nvd@nist.gov",
"type": "Primary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-46547",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "total"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-04-25T16:58:20.109694Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-04-25T03:15:20.430",
"references": [
{
"source": "cve@mitre.org",
"tags": [
"Not Applicable"
],
"url": "https://deiteriy.com"
},
{
"source": "cve@mitre.org",
"tags": [
"Third Party Advisory"
],
"url": "https://gist.github.com/ArtemBrylev/9af206c46d7505db03ad6fcd9fc46f7f"
},
{
"source": "cve@mitre.org",
"tags": [
"Product"
],
"url": "https://sherparpa.com"
},
{
"source": "cve@mitre.org",
"tags": [
"Not Applicable"
],
"url": "https://twitter.com/ArtyomBrylev"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Analyzed",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-352"
}
],
"source": "cve@mitre.org",
"type": "Secondary"
}
]
}
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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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