FKIE_CVE-2025-63743
Vulnerability from fkie_nvd - Published: 2026-04-13 16:16 - Updated: 2026-07-05 17:17
Severity
Summary
Cross-Site Scripting vulnerability in the Snipe-IT web-based asset management system v8.3.0 to up and including v8.3.1 allows authenticated attacker with lowest privileges sufficient only to log in, to inject arbitrary JavaScript code via "Name" and "Surname" fields. The JavaScript code is executed whenever "Activity Report" or modified profile is viewed directly by any user with sufficient permissions. Successful exploitation of this issue requires that the profile's "Display Name" is not set. The vulnerability is fixed in v8.3.2.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"product": "n/a",
"vendor": "n/a",
"versions": [
{
"status": "affected",
"version": "n/a"
}
]
}
],
"source": "cve@mitre.org"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "Cross-Site Scripting vulnerability in the Snipe-IT web-based asset management system v8.3.0 to up and including v8.3.1 allows authenticated attacker with lowest privileges sufficient only to log in, to inject arbitrary JavaScript code via \"Name\" and \"Surname\" fields. The JavaScript code is executed whenever \"Activity Report\" or modified profile is viewed directly by any user with sufficient permissions. Successful exploitation of this issue requires that the profile\u0027s \"Display Name\" is not set. The vulnerability is fixed in v8.3.2."
}
],
"id": "CVE-2025-63743",
"lastModified": "2026-07-05T17:17:21.950",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 2.5,
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-63743",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-04-14T14:41:20.227228Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-04-13T16:16:24.487",
"references": [
{
"source": "cve@mitre.org",
"url": "https://github.com/grokability/snipe-it/commit/b6d397bcca4e8a05176b782de769d7160058bfc4#diff-7fe056d76c09808dac923c4639161d587c3fff281a01122f3e10c4a781674a65"
},
{
"source": "cve@mitre.org",
"url": "https://github.com/mikust/CVEs/tree/main/CVE-2025-63743"
}
],
"sourceIdentifier": "cve@mitre.org",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"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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