GSD-2014-4810
Vulnerability from gsd - Updated: 2023-12-13 01:22Details
IBM Cognos Mobile 10.1.1 before FP3 IF1, 10.2.0 before FP2 IF1, and 10.2.1 before FP4 IF1 preserves a session between the Cognos Mobile server and the Cognos Business Intelligence server after a logoff action on a mobile device, which makes it easier for remote attackers to bypass intended Business Intelligence restrictions by leveraging access to authentication data that was captured before this logoff.
Aliases
Aliases
{
"GSD": {
"alias": "CVE-2014-4810",
"description": "IBM Cognos Mobile 10.1.1 before FP3 IF1, 10.2.0 before FP2 IF1, and 10.2.1 before FP4 IF1 preserves a session between the Cognos Mobile server and the Cognos Business Intelligence server after a logoff action on a mobile device, which makes it easier for remote attackers to bypass intended Business Intelligence restrictions by leveraging access to authentication data that was captured before this logoff.",
"id": "GSD-2014-4810"
},
"gsd": {
"metadata": {
"exploitCode": "unknown",
"remediation": "unknown",
"reportConfidence": "confirmed",
"type": "vulnerability"
},
"osvSchema": {
"aliases": [
"CVE-2014-4810"
],
"details": "IBM Cognos Mobile 10.1.1 before FP3 IF1, 10.2.0 before FP2 IF1, and 10.2.1 before FP4 IF1 preserves a session between the Cognos Mobile server and the Cognos Business Intelligence server after a logoff action on a mobile device, which makes it easier for remote attackers to bypass intended Business Intelligence restrictions by leveraging access to authentication data that was captured before this logoff.",
"id": "GSD-2014-4810",
"modified": "2023-12-13T01:22:45.894889Z",
"schema_version": "1.4.0"
}
},
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"STATE": "PUBLIC"
},
"affects": {
"vendor": {
"vendor_data": [
{
"product": {
"product_data": [
{
"product_name": "n/a",
"version": {
"version_data": [
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"version_value": "n/a"
}
]
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}
]
},
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}
]
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},
"data_format": "MITRE",
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"data_version": "4.0",
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"value": "IBM Cognos Mobile 10.1.1 before FP3 IF1, 10.2.0 before FP2 IF1, and 10.2.1 before FP4 IF1 preserves a session between the Cognos Mobile server and the Cognos Business Intelligence server after a logoff action on a mobile device, which makes it easier for remote attackers to bypass intended Business Intelligence restrictions by leveraging access to authentication data that was captured before this logoff."
}
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},
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"name": "http://www-01.ibm.com/support/docview.wss?uid=swg21684608",
"refsource": "CONFIRM",
"url": "http://www-01.ibm.com/support/docview.wss?uid=swg21684608"
},
{
"name": "ibm-cognos-cve20144810-sec-bypass(95386)",
"refsource": "XF",
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/95386"
}
]
}
},
"nvd.nist.gov": {
"configurations": {
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"nodes": [
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"cpe_name": [],
"vulnerable": true
},
{
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},
{
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"description": {
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"value": "IBM Cognos Mobile 10.1.1 before FP3 IF1, 10.2.0 before FP2 IF1, and 10.2.1 before FP4 IF1 preserves a session between the Cognos Mobile server and the Cognos Business Intelligence server after a logoff action on a mobile device, which makes it easier for remote attackers to bypass intended Business Intelligence restrictions by leveraging access to authentication data that was captured before this logoff."
}
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"problemtype": {
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}
},
"impact": {
"baseMetricV2": {
"cvssV2": {
"accessComplexity": "MEDIUM",
"accessVector": "NETWORK",
"authentication": "NONE",
"availabilityImpact": "NONE",
"baseScore": 4.3,
"confidentialityImpact": "NONE",
"integrityImpact": "PARTIAL",
"vectorString": "AV:N/AC:M/Au:N/C:N/I:P/A:N",
"version": "2.0"
},
"exploitabilityScore": 8.6,
"impactScore": 2.9,
"obtainAllPrivilege": false,
"obtainOtherPrivilege": false,
"obtainUserPrivilege": false,
"severity": "MEDIUM",
"userInteractionRequired": false
}
},
"lastModifiedDate": "2017-08-29T01:35Z",
"publishedDate": "2014-11-05T11:55Z"
}
}
}
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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.
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- Exploited: The vulnerability was observed as exploited 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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