CVE-2018-1568 (GCVE-0-2018-1568)
Vulnerability from cvelistv5 – Published: 2018-12-05 17:00 – Updated: 2024-09-17 04:15
VLAI
EPSS
VEX
Summary
IBM QRadar SIEM 7.2 and 7.3 allows web pages to be stored locally which can be read by another user on the system. IBM X-Force ID: 143118.
Severity
CWE
- Obtain Information
Assigner
References
2 references
| URL | Tags |
|---|---|
| https://exchange.xforce.ibmcloud.com/vulnerabilit… | vdb-entryx_refsource_XF |
| http://www.ibm.com/support/docview.wss?uid=ibm10737023 | x_refsource_CONFIRM |
Impacted products
1 product
| Vendor | Product | Version | CPE status | |
|---|---|---|---|---|
| IBM | QRadar SIEM |
Affected:
7.2
Affected: 7.3 |
guessed |
Date Public
2018-12-03 00:00
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"baseSeverity": "MEDIUM",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "NONE",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 2.5,
"impactScore": 1.4,
"source": "psirt@us.ibm.com",
"type": "Secondary"
},
{
"cvssData": {
"attackComplexity": "LOW",
"attackVector": "LOCAL",
"availabilityImpact": "NONE",
"baseScore": 3.3,
"baseSeverity": "LOW",
"confidentialityImpact": "LOW",
"integrityImpact": "NONE",
"privilegesRequired": "LOW",
"scope": "UNCHANGED",
"userInteraction": "NONE",
"vectorString": "CVSS:3.0/AV:L/AC:L/PR:L/UI:N/S:U/C:L/I:N/A:N",
"version": "3.0"
},
"exploitabilityScore": 1.8,
"impactScore": 1.4,
"source": "nvd@nist.gov",
"type": "Primary"
}
]
},
"published": "2018-12-05T17:29:00.317",
"references": [
{
"source": "psirt@us.ibm.com",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "http://www.ibm.com/support/docview.wss?uid=ibm10737023"
},
{
"source": "psirt@us.ibm.com",
"tags": [
"VDB Entry",
"Vendor Advisory"
],
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/143118"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"Patch",
"Vendor Advisory"
],
"url": "http://www.ibm.com/support/docview.wss?uid=ibm10737023"
},
{
"source": "af854a3a-2127-422b-91ae-364da2661108",
"tags": [
"VDB Entry",
"Vendor Advisory"
],
"url": "https://exchange.xforce.ibmcloud.com/vulnerabilities/143118"
}
],
"sourceIdentifier": "psirt@us.ibm.com",
"vulnStatus": "Modified",
"weaknesses": [
{
"description": [
{
"lang": "en",
"value": "CWE-200"
}
],
"source": "nvd@nist.gov",
"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.
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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