Vulnerability-Lookup

CNVD-2022-31922

Vulnerability from cnvd - Published: 2022-04-24

Title

Oracle MySQL缓冲区溢出漏洞（CNVD-2022-31922）

Description

Oracle MySQL是美国甲骨文（Oracle）公司的一套开源的关系数据库管理系统。MySQL Server是其中的一个数据库服务器组件。MySQL Connectors是其中的一个连接使用MySQL的应用程序的驱动程序。 Oracle MySQL存在缓冲区溢出漏洞，该漏洞允许高权限攻击者访问连接到执行MySQL Cluster 的硬件的物理通信段来破坏 MySQL Cluster。成功的攻击需要来自攻击者以外的人的人机交互。攻击者可利用该漏洞导致对MySQL Cluster 可访问数据的子集进行未经授权的读取访问，以及导致 MySQL Cluster 的部分拒绝服务（部分 DOS）的未经授权的能力。

Severity

低

Patch Name

Oracle MySQL缓冲区溢出漏洞（CNVD-2022-31922）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/cpuapr2022.html

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-21485

Impacted products

Name
Oracle MySQL Cluster

Show details on source website

JSON

To clipboard

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CVE-2022-21485 (GCVE-0-2022-21485)

Vulnerability from cvelistv5 – Published: 2022-04-19 20:38 – Updated: 2024-09-24 20:06

Summary

Vulnerability in the MySQL Cluster product of Oracle MySQL (component: Cluster: General). Supported versions that are affected are 7.4.35 and prior, 7.5.25 and prior, 7.6.21 and prior and 8.0.28 and prior. Difficult to exploit vulnerability allows high privileged attacker with access to the physical communication segment attached to the hardware where the MySQL Cluster executes to compromise MySQL Cluster. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized read access to a subset of MySQL Cluster accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of MySQL Cluster. CVSS 3.1 Base Score 2.9 (Confidentiality and Availability impacts). CVSS Vector: (CVSS:3.1/AV:A/AC:H/PR:H/UI:R/S:U/C:L/I:N/A:L).

Severity

2.9 (Low)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-09-23 18:36 UTC

CWE

Difficult to exploit vulnerability allows high privileged attacker with access to the physical communication segment attached to the hardware where the MySQL Cluster executes to compromise MySQL Cluster. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized read access to a subset of MySQL Cluster accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of MySQL Cluster.

Assigner

oracle mitre root

References

2 references

URL	Tags
https://www.oracle.com/security-alerts/cpuapr2022.html	x_refsource_MISC
https://security.netapp.com/advisory/ntap-2022042…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
Oracle Corporation	MySQL Cluster	Affected: 7.4.35 and prior Affected: 7.5.25 and prior Affected: 7.6.21 and prior Affected: 8.0.28 and prior

Show details on NVD website

JSON

To clipboard

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    "cna": {
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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.