FKIE_CVE-2026-12751
Vulnerability from fkie_nvd - Published: 2026-09-15 18:17 - Updated: 2026-09-23 20:15
Severity
Summary
IBM Cloud Pak for Business Automation is vulnerable to HTML injection. A remote attacker could inject malicious HTML code, which when viewed, would be executed in the victim's Web browser within the security context of the hosting site.
References
| URL | Tags | ||
|---|---|---|---|
| psirt@us.ibm.com | https://www.ibm.com/support/pages/node/7285931 | Vendor Advisory |
Impacted products
{
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{
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"cpe:2.3:a:ibm:cloud_pak_for_business_automation:25.0.0:*:*:*:*:*:*:*",
"cpe:2.3:a:ibm:cloud_pak_for_business_automation:25.0.0:interim_fix_005:*:*:*:*:*:*",
"cpe:2.3:a:ibm:cloud_pak_for_business_automation:24.0.1:*:*:*:*:*:*:*",
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"cpe:2.3:a:ibm:cloud_pak_for_business_automation:24.0.0:*:*:*:*:*:*:*",
"cpe:2.3:a:ibm:cloud_pak_for_business_automation:24.0.0:interim_fix_009:*:*:*:*:*:*"
],
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"vendor": "IBM",
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"status": "affected",
"version": "26.0.0",
"versionType": "semver"
},
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"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "IBM Cloud Pak for Business Automation is vulnerable to HTML injection. A remote attacker could inject malicious HTML code, which when viewed, would be executed in the victim\u0027s Web browser within the security context of the hosting site."
}
],
"id": "CVE-2026-12751",
"lastModified": "2026-09-23T20:15:43.657",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 5.4,
"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "LOW",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "REQUIRED",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N",
"version": "3.1"
},
"exploitabilityScore": 2.3,
"impactScore": 2.7,
"source": "psirt@us.ibm.com",
"type": "Secondary"
}
],
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"options": [
{
"exploitation": "none"
},
{
"automatable": "no"
},
{
"technicalImpact": "partial"
}
],
"role": "CISA Coordinator",
"timestamp": "2026-09-15T19:00:50.298279Z",
"version": "2.0.3"
}
}
]
},
"published": "2026-09-15T18:17:15.077",
"references": [
{
"source": "psirt@us.ibm.com",
"tags": [
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],
"url": "https://www.ibm.com/support/pages/node/7285931"
}
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"sourceIdentifier": "psirt@us.ibm.com",
"vulnStatus": "Analyzed",
"weaknesses": [
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"description": [
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"lang": "en",
"value": "CWE-80"
}
],
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]
}
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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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