FKIE_CVE-2026-105987
Vulnerability from fkie_nvd - Published: 2026-10-27 15:16 - Updated: 2026-10-27 16:04
Severity
Summary
KGS Software tia Viewer is vulnerable to Stored XSS via the annotation API. Due to the lack of input validation, an authenticated attacker can inject arbitrary JavaScript payload into a stickynote annotation. When any user opens the document, the viewer renders the annotation and the browser executes the payload. This may lead to compromising the user's session.
This issue has been fixed in version 1.2.8.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "tia Viewer",
"vendor": "KGS Software",
"versions": [
{
"lessThan": "1.2.8",
"status": "affected",
"version": "0",
"versionType": "semver"
}
]
}
],
"source": "cvd@cert.pl"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "KGS Software tia Viewer is vulnerable to Stored XSS via the annotation API.\u00a0Due to the lack of input validation, an authenticated attacker can inject arbitrary JavaScript payload into a stickynote annotation. When any user opens the document, the viewer renders the annotation and the browser executes the payload. This may lead to compromising the user\u0027s session.\nThis issue has been fixed in version 1.2.8."
}
],
"id": "CVE-2026-105987",
"lastModified": "2026-10-27T16:04:22.707",
"metrics": {
"cvssMetricV40": [
{
"cvssData": {
"Automatable": "NOT_DEFINED",
"Recovery": "NOT_DEFINED",
"Safety": "NOT_DEFINED",
"attackComplexity": "LOW",
"attackRequirements": "NONE",
"attackVector": "NETWORK",
"availabilityRequirement": "NOT_DEFINED",
"baseScore": 5.1,
"baseSeverity": "MEDIUM",
"confidentialityRequirement": "NOT_DEFINED",
"exploitMaturity": "NOT_DEFINED",
"integrityRequirement": "NOT_DEFINED",
"modifiedAttackComplexity": "NOT_DEFINED",
"modifiedAttackRequirements": "NOT_DEFINED",
"modifiedAttackVector": "NOT_DEFINED",
"modifiedPrivilegesRequired": "NOT_DEFINED",
"modifiedSubAvailabilityImpact": "NOT_DEFINED",
"modifiedSubConfidentialityImpact": "NOT_DEFINED",
"modifiedSubIntegrityImpact": "NOT_DEFINED",
"modifiedUserInteraction": "NOT_DEFINED",
"modifiedVulnAvailabilityImpact": "NOT_DEFINED",
"modifiedVulnConfidentialityImpact": "NOT_DEFINED",
"modifiedVulnIntegrityImpact": "NOT_DEFINED",
"privilegesRequired": "LOW",
"providerUrgency": "NOT_DEFINED",
"subAvailabilityImpact": "NONE",
"subConfidentialityImpact": "LOW",
"subIntegrityImpact": "LOW",
"userInteraction": "PASSIVE",
"valueDensity": "NOT_DEFINED",
"vectorString": "CVSS:4.0/AV:N/AC:L/AT:N/PR:L/UI:P/VC:N/VI:N/VA:N/SC:L/SI:L/SA:N/E:X/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X",
"version": "4.0",
"vulnAvailabilityImpact": "NONE",
"vulnConfidentialityImpact": "NONE",
"vulnIntegrityImpact": "NONE",
"vulnerabilityResponseEffort": "NOT_DEFINED"
},
"source": "cvd@cert.pl",
"type": "Secondary"
}
]
},
"published": "2026-10-27T15:16:31.130",
"references": [
{
"source": "cvd@cert.pl",
"url": "https://cert.pl/en/posts/2026/10/CVE-2026-105987"
},
{
"source": "cvd@cert.pl",
"url": "https://www.kgs-software.com/en/products/tia-viewer"
}
],
"sourceIdentifier": "cvd@cert.pl",
"vulnStatus": "Deferred",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-79"
}
],
"source": "cvd@cert.pl",
"type": "Primary"
}
]
}
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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.