CVE-2017-10065 (GCVE-0-2017-10065)
Vulnerability from cvelistv5 – Published: 2017-10-19 17:00 – Updated: 2024-10-04 16:59
VLAI
EPSS
VEX
Summary
Vulnerability in the Oracle Retail Point-of-Service component of Oracle Retail Applications (subcomponent: Security). Supported versions that are affected are 13.2, 13.3, 13.4, 14.0 and 14.1. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Retail Point-of-Service. While the vulnerability is in Oracle Retail Point-of-Service, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Retail Point-of-Service accessible data as well as unauthorized read access to a subset of Oracle Retail Point-of-Service accessible data. CVSS 3.0 Base Score 8.5 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:H/A:N).
Severity
No CVSS data available.
SSVC
Exploitation: none
Automatable: no
Technical Impact: partial
CISA Coordinator · CISA-ADP (v2.0.3)
Decision recorded 2024-10-04 15:47 UTC
CWE
- n/a
Assigner
References
2 references
| URL | Tags |
|---|---|
| http://www.securityfocus.com/bid/101359 | vdb-entryx_refsource_BID |
| http://www.oracle.com/technetwork/security-adviso… | x_refsource_CONFIRM |
Date Public
2017-10-17 00:00
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"value": "Vulnerability in the Oracle Retail Point-of-Service component of Oracle Retail Applications (subcomponent: Security). Supported versions that are affected are 13.2, 13.3, 13.4, 14.0 and 14.1. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle Retail Point-of-Service. While the vulnerability is in Oracle Retail Point-of-Service, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized creation, deletion or modification access to critical data or all Oracle Retail Point-of-Service accessible data as well as unauthorized read access to a subset of Oracle Retail Point-of-Service accessible data. CVSS 3.0 Base Score 8.5 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:C/C:L/I:H/A:N)."
}
]
},
"problemtype": {
"problemtype_data": [
{
"description": [
{
"lang": "eng",
"value": "n/a"
}
]
}
]
},
"references": {
"reference_data": [
{
"name": "101359",
"refsource": "BID",
"url": "http://www.securityfocus.com/bid/101359"
},
{
"name": "http://www.oracle.com/technetwork/security-advisory/cpuoct2017-3236626.html",
"refsource": "CONFIRM",
"url": "http://www.oracle.com/technetwork/security-advisory/cpuoct2017-3236626.html"
}
]
}
}
}
},
"cveMetadata": {
"assignerOrgId": "43595867-4340-4103-b7a2-9a5208d29a85",
"assignerShortName": "oracle",
"cveId": "CVE-2017-10065",
"datePublished": "2017-10-19T17:00:00.000Z",
"dateReserved": "2017-06-21T00:00:00.000Z",
"dateUpdated": "2024-10-04T16:59:41.069Z",
"state": "PUBLISHED"
},
"dataType": "CVE_RECORD",
"dataVersion": "5.1"
}
}
}
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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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