Vulnerability-Lookup

CNVD-2017-00890

Vulnerability from cnvd - Published: 2017-02-04

Title

Oracle FLEXCUBE Core Banking未授权操作漏洞

Description

Oracle FLEXCUBE Core Banking是美国甲骨文（Oracle）公司的一款产品。它的应用程序架构支持使用业务流程执行语言（BPEL），面向服务的架构（SOA）和基于Web服务的模型进行敏捷和业务流程管理。 racle FLEXCUBE Core Banking中的Core子组件存在未授权操作漏洞，攻击者可利用该漏洞未授权读取、更新、插入或删除数据，影响数据的保密性和完整性。

Severity

中

Patch Name

Oracle FLEXCUBE Core Banking未授权操作漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： http://www.oracle.com/technetwork/security-advisory/cpujan2017-2881727.html

Reference

http://www.securityfocus.com/bid/95556

Impacted products

Name
['Oracle FLEXCUBE Core Banking 5.1.0', 'Oracle FLEXCUBE Core Banking 5.2.0', 'Oracle FLEXCUBE Core Banking 11.5.0']

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "95556"
    }
  },
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    "cve": {
      "cveNumber": "CVE-2016-8323",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2016-8323"
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  "serverity": "\u4e2d",
  "submitTime": "2017-01-20",
  "title": "Oracle FLEXCUBE Core Banking\u672a\u6388\u6743\u64cd\u4f5c\u6f0f\u6d1e"
}

CVE-2016-8323 (GCVE-0-2016-8323)

Vulnerability from cvelistv5 – Published: 2017-01-27 22:01 – Updated: 2024-10-09 19:56

Summary

Vulnerability in the Oracle FLEXCUBE Core Banking component of Oracle Financial Services Applications (subcomponent: Core). Supported versions that are affected are 5.1.0, 5.2.0 and 11.5.0. Easily exploitable vulnerability allows low privileged attacker with network access via HTTP to compromise Oracle FLEXCUBE Core Banking. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle FLEXCUBE Core Banking accessible data as well as unauthorized read access to a subset of Oracle FLEXCUBE Core Banking accessible data. CVSS v3.0 Base Score 5.4 (Confidentiality and Integrity impacts).

Severity

No CVSS data available.

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-09 19:30 UTC

CWE

CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:L/I:L/A:N

Assigner

oracle mitre root

References

3 references

URL	Tags
http://www.securityfocus.com/bid/95556	vdb-entryx_refsource_BID
http://www.securitytracker.com/id/1037636	vdb-entryx_refsource_SECTRACK
http://www.oracle.com/technetwork/security-adviso…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Oracle	FLEXCUBE Core Banking	Affected: 5.1.0 Affected: 5.2.0 Affected: 11.5.0

Date Public

2017-01-17 00:00

Show details on NVD website

JSON

To clipboard

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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.

Detection rules are retrieved from Rulezet.

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.