FKIE_CVE-2026-81210
Vulnerability from fkie_nvd - Published: 2026-09-10 22:17 - Updated: 2026-09-11 14:56
Severity
Summary
IBM DataStage on Cloud Pak for Data 5.4.0.0 concatenates three caller-supplied strings into a String.format path on the shared /ds-storage RWX PVC and returns the file with no project ACL — pure IDOR plus traversal. Read is constrained to files named job.log/error.log, but DataStage job logs routinely carry connection strings, {dsnextenc} ciphertexts (decryptable via d2-f023), and customer-data row samples. This is the operator's tenant-to-tenant PVC-leakage threat verbatim; MEDIUM→HIGH via threat match.
References
Impacted products
| Vendor | Product | Version |
|---|
{
"affected": [
{
"affectedData": [
{
"cpes": [
"cpe:2.3:a:ibm:datastage_on_cloud_pak_for_data:5.4.0.0:*:*:*:*:*:*:*"
],
"product": "DataStage on Cloud Pak for Data",
"vendor": "IBM",
"versions": [
{
"status": "affected",
"version": "5.4.0.0"
}
]
}
],
"source": "psirt@us.ibm.com"
}
],
"cveTags": [],
"descriptions": [
{
"lang": "en",
"value": "IBM DataStage on Cloud Pak for Data 5.4.0.0 concatenates three caller-supplied strings into a String.format path on the shared /ds-storage RWX PVC and returns the file with no project ACL \u2014 pure IDOR plus traversal. Read is constrained to files named job.log/error.log, but DataStage job logs routinely carry connection strings, {dsnextenc} ciphertexts (decryptable via d2-f023), and customer-data row samples. This is the operator\u0027s tenant-to-tenant PVC-leakage threat verbatim; MEDIUM\u2192HIGH via threat match."
}
],
"id": "CVE-2026-81210",
"lastModified": "2026-09-11T14:56:50.613",
"metrics": {
"cvssMetricV31": [
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "NETWORK",
"availabilityImpact": "NONE",
"baseScore": 7.7,
"baseSeverity": "HIGH",
"confidentialityImpact": "HIGH",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "CHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.1/AV:N/AC:L/PR:L/UI:N/S:C/C:H/I:N/A:N",
"version": "3.1"
},
"exploitabilityScore": 3.1,
"impactScore": 4.0,
"source": "psirt@us.ibm.com",
"type": "Primary"
}
]
},
"published": "2026-09-10T22:17:01.837",
"references": [
{
"source": "psirt@us.ibm.com",
"url": "https://www.ibm.com/support/pages/node/7286562"
}
],
"sourceIdentifier": "psirt@us.ibm.com",
"vulnStatus": "Undergoing Analysis",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-639"
}
],
"source": "psirt@us.ibm.com",
"type": "Primary"
}
]
}
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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.
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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