Vulnerability-Lookup

CNVD-2020-70271

Vulnerability from cnvd - Published: 2020-12-09

Title

Oracle Database Server Vault component未授权访问漏洞

Description

Oracle Database Server是美国甲骨文（Oracle）公司的一套关系数据库管理系统。该数据库管理系统提供数据管理、分布式处理等功能。 Oracle Database Server Database Vault component存在未授权访问漏洞，攻击者可利用该漏洞创建公共同义词的网络访问权限，通过Oracle Net入侵数据库库。该漏洞的成功攻击可能导致对数据库Vault可访问数据的未授权更新、插入或删除访问权限，以及对数据库Vault可访问数据子集的未授权读取数据。

Severity

中

Patch Name

Oracle Database Server Vault component未授权访问漏洞的补丁

Patch Description

Formal description

目前厂商已发布升级补丁以修复漏洞，补丁获取链接： https://www.oracle.com/security-alerts/cpuoct2020.html

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-14736

Impacted products

Name
['Oracle Oracle Database Server 11.2.0.4', 'Oracle Oracle Database Server 12.1.0.2', 'Oracle Oracle Database Server 12.2.0.1']

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JSON

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CVE-2020-14736 (GCVE-0-2020-14736)

Vulnerability from cvelistv5 – Published: 2020-10-21 14:04 – Updated: 2024-09-26 20:31

Summary

Vulnerability in the Database Vault component of Oracle Database Server. Supported versions that are affected are 11.2.0.4, 12.1.0.2 and 12.2.0.1. Easily exploitable vulnerability allows high privileged attacker having Create Public Synonym privilege with network access via Oracle Net to compromise Database Vault. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Database Vault accessible data as well as unauthorized read access to a subset of Database Vault accessible data. CVSS 3.1 Base Score 3.8 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N).

Severity

3.8 (Low)


                        
                          CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:N

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-09-26 19:45 UTC

CWE

Easily exploitable vulnerability allows high privileged attacker having Create Public Synonym privilege with network access via Oracle Net to compromise Database Vault. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Database Vault accessible data as well as unauthorized read access to a subset of Database Vault accessible data.

Assigner

oracle mitre root

References

1 reference

URL	Tags
https://www.oracle.com/security-alerts/cpuoct2020.html	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Oracle Corporation	Database - Enterprise Edition	Affected: 11.2.0.4 Affected: 12.1.0.2 Affected: 12.2.0.1

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.

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.