FKIE_CVE-2025-62345
Vulnerability from fkie_nvd - Published: 2026-05-06 12:16 - Updated: 2026-09-30 22:10
Severity
Summary
HCL BigFix RunBookAI is affected by a Continued availability of Less-Secure “Input Text” Vulnerability . A component contains a security weakness in its input handling implementation, increasing the risk of misconfiguration and operational errors.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"defaultStatus": "unaffected",
"product": "BigFix RunBookAI",
"vendor": "HCL",
"versions": [
{
"status": "affected",
"version": "11.2"
}
]
}
],
"source": "psirt@hcl.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "HCL BigFix RunBookAI is affected by a Continued availability of Less-Secure \u201cInput Text\u201d Vulnerability . A component contains a security weakness in its input handling implementation, increasing the risk of misconfiguration and operational errors."
},
{
"lang": "es",
"value": "HCL BigFix RunBookAI est\u00e1 afectado por una Vulnerabilidad de disponibilidad continua de \u0027Texto de entrada\u0027 menos seguro. Un componente contiene una debilidad de seguridad en su implementaci\u00f3n de manejo de entrada, aumentando el riesgo de configuraci\u00f3n incorrecta y errores operativos."
}
],
"id": "CVE-2025-62345",
"lastModified": "2026-09-30T22:10:00.273",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 2.7,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "HIGH",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 1.2,
"impactScore": 1.4,
"source": "psirt@hcl.com",
"type": "Secondary"
}
],
"ssvcV203": [
{
"source": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
"ssvcData": {
"id": "CVE-2025-62345",
"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-05-06T12:20:03.588263Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-05-06T12:16:26.957",
"references": [
{
"source": "psirt@hcl.com",
"url": "https://support.hcl-software.com/csm?id=kb_article\u0026sysparm_article=KB0130444"
}
],
"sourceIdentifier": "psirt@hcl.com",
"vulnStatus": "Awaiting Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-522"
}
],
"source": "psirt@hcl.com",
"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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