Vulnerability-Lookup

CNVD-2016-10110

Vulnerability from cnvd - Published: 2016-10-26

Title

Oracle E-Business Suite Oracle Common Applications Calendar组件数据读取漏洞

Description

Oracle E-Business Suite（电子商务套件）是美国甲骨文（Oracle）公司的一套全面集成式的全球业务管理软件。该软件提供了客户关系管理、服务管理、财务管理等功能。Oracle Common Application Calendar（CAC，又名Oracle Common Application）是其中的一个能够简化日常活动、约会和资源调度管理的组件。 Oracle E-Business Suite的Oracle CAC组件中的Resources Module子组件存在数据读取漏洞。攻击者可利用该漏洞读取数据，影响数据的保密性。

Severity

中

Patch Name

Oracle E-Business Suite Oracle Common Applications Calendar组件数据读取漏洞的补丁

Patch Description

Formal description

用户可参考如下供应商提供的安全公告获得补丁信息： http://www.oracle.com/technetwork/security-advisory/cpuoct2016-2881722.html

Reference

http://www.securityfocus.com/bid/93764

Impacted products

Name
['Oracle E-Business Suite 12.1.3', 'Oracle E-Business Suite 12.1.2', 'Oracle E-Business Suite 12.1.1', 'Oracle E-Business Suite 12.2.3', 'Oracle E-Business Suite 12.2.4', 'Oracle E-Business Suite 12.2.5', 'Oracle E-Business Suite 12.2.6']

Show details on source website

JSON

To clipboard

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      "bidNumber": "93764"
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    "cve": {
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  "number": "CNVD-2016-10110",
  "openTime": "2016-10-26",
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      "Oracle E-Business Suite 12.1.1",
      "Oracle E-Business Suite 12.2.3",
      "Oracle E-Business Suite 12.2.4",
      "Oracle E-Business Suite 12.2.5",
      "Oracle E-Business Suite 12.2.6"
    ]
  },
  "referenceLink": "http://www.securityfocus.com/bid/93764",
  "serverity": "\u4e2d",
  "submitTime": "2016-10-20",
  "title": "Oracle E-Business Suite Oracle Common Applications Calendar\u7ec4\u4ef6\u6570\u636e\u8bfb\u53d6\u6f0f\u6d1e"
}

CVE-2016-5575 (GCVE-0-2016-5575)

Vulnerability from cvelistv5 – Published: 2016-10-25 14:00 – Updated: 2024-10-10 18:24

Summary

Unspecified vulnerability in the Oracle Common Applications Calendar component in Oracle E-Business Suite 12.1.1 through 12.1.3 and 12.2.3 through 12.2.6 allows remote attackers to affect confidentiality via vectors related to Resources Module.

Severity

No CVSS data available.

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-10 17:45 UTC

CWE

Assigner

oracle CNA under the mitre root

CNA scorecard C 69/100 over 3007 records in the last 180 days details

References

3 references

URL	Tags
http://www.oracle.com/technetwork/security-adviso…	x_refsource_CONFIRM
http://www.securityfocus.com/bid/93764	vdb-entryx_refsource_BID
http://www.securitytracker.com/id/1037038	vdb-entryx_refsource_SECTRACK

Date Public

2016-10-18 00:00

Show details on NVD website

JSON

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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.

Vulnerability timeline

Sightings and recorded dates, grouped by day · UTC

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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.

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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