FKIE_CVE-2025-27931
Vulnerability from fkie_nvd - Published: 2025-08-05 15:15 - Updated: 2026-06-17 09:04
Severity
Summary
An out-of-bounds read vulnerability exists in the EMF functionality of PDF-XChange Editor version 10.5.2.395. By using a specially crafted EMF file, an attacker could exploit this vulnerability to perform an out-of-bounds read, potentially leading to the disclosure of sensitive information.
References
Impacted products
| Vendor | Product | Version | |
|---|---|---|---|
| pdf-xchange | pdf-xchange_editor | 10.5.2.395 |
{
"affected": [
{
"affectedData": [
{
"product": "PDF-XChange Editor",
"vendor": "PDF-XChange Co. Ltd",
"versions": [
{
"status": "affected",
"version": "10.5.2.395"
}
]
}
],
"source": "talos-cna@cisco.com"
}
],
"configurations": [
{
"nodes": [
{
"cpeMatch": [
{
"criteria": "cpe:2.3:a:pdf-xchange:pdf-xchange_editor:10.5.2.395:*:*:*:*:*:*:*",
"matchCriteriaId": "38301DEE-CA79-48C7-9E8C-1EA9EDEFACD3",
"vulnerable": true
}
],
"negate": false,
"operator": "OR"
}
]
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "An out-of-bounds read vulnerability exists in the EMF functionality of PDF-XChange Editor version 10.5.2.395. By using a specially crafted EMF file, an attacker could exploit this vulnerability to perform an out-of-bounds read, potentially leading to the disclosure of sensitive information."
},
{
"lang": "es",
"value": "Existe una vulnerabilidad de lectura fuera de los l\u00edmites en la funcionalidad EMF de PDF-XChange Editor versi\u00f3n 10.5.2.395. Al usar un archivo EMF especialmente manipulado, un atacante podr\u00eda explotar esta vulnerabilidad para realizar una lectura fuera de los l\u00edmites, lo que podr\u00eda provocar la divulgaci\u00f3n de informaci\u00f3n confidencial."
}
],
"id": "CVE-2025-27931",
"lastModified": "2026-06-17T09:04:24.710",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 6.5,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:R/S:U/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.8,
"impactScore": 3.6,
"source": "talos-cna@cisco.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-27931",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2025-08-05T20:11:29.390696Z",
"version": "2.0.3"
}
}
]
},
"published": "2025-08-05T15:15:28.800",
"references": [
{
"source": "talos-cna@cisco.com",
"tags": [
"Exploit",
"Third Party Advisory"
],
"url": "https://talosintelligence.com/vulnerability_reports/TALOS-2025-2171"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"url": "https://www.talosintelligence.com/vulnerability_reports/TALOS-2025-2171"
}
],
"sourceIdentifier": "talos-cna@cisco.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-125"
}
],
"source": "talos-cna@cisco.com",
"type": "Secondary"
}
]
}
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Sightings
| Author | Source | Type | Date | Other |
|---|
Nomenclature
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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.
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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.