Vulnerability-Lookup

CNVD-2017-32283

Vulnerability from cnvd - Published: 2017-11-01

Title

Oracle MySQL Connector/Net子组件拒绝服务漏洞

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。该数据库系统具有性能高、成本低、可靠性好等特点。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中的MySQL Connectors组件6.9.9及之前的版本的Connector/Net子组件存在安全漏洞。攻击者可利用该漏洞造成拒绝服务，影响数据的可用性。

Severity

中

Patch Name

Oracle MySQL Connector/Net子组件拒绝服务漏洞的补丁

Patch Description

Formal description

厂商已发布漏洞修复程序，请及时关注更新： http://www.oracle.com/technetwork/security-advisory/cpuoct2017-3236626.html

Reference

http://www.oracle.com/technetwork/security-advisory/cpuoct2017-3236626.html

Impacted products

Name
Oracle MySQL Server <=6.9.9

Show details on source website

JSON

To clipboard

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  "serverity": "\u4e2d",
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  "title": "Oracle MySQL Connector/Net\u5b50\u7ec4\u4ef6\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
}

CVE-2017-10203 (GCVE-0-2017-10203)

Vulnerability from cvelistv5 – Published: 2017-10-19 17:00 – Updated: 2024-10-04 16:57

Summary

Vulnerability in the MySQL Connectors component of Oracle MySQL (subcomponent: Connector/Net). Supported versions that are affected are 6.9.9 and earlier. Easily exploitable vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise MySQL Connectors. Successful attacks of this vulnerability can result in unauthorized ability to cause a partial denial of service (partial DOS) of MySQL Connectors. CVSS 3.0 Base Score 5.3 (Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:L).

Severity

No CVSS data available.

SSVC

Exploitation: none Automatable: yes Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-04 15:35 UTC

CWE

Easily exploitable vulnerability allows unauthenticated attacker with network access via multiple protocols to compromise MySQL Connectors. Successful attacks of this vulnerability can result in unauthorized ability to cause a partial denial of service (partial DOS) of MySQL Connectors.

Assigner

oracle mitre root

References

4 references

URL	Tags
https://security.netapp.com/advisory/ntap-2017101…	x_refsource_CONFIRM
http://www.securitytracker.com/id/1039597	vdb-entryx_refsource_SECTRACK
http://www.oracle.com/technetwork/security-adviso…	x_refsource_CONFIRM
http://www.securityfocus.com/bid/101324	vdb-entryx_refsource_BID

Impacted products

1 product

Vendor	Product	Version
Oracle Corporation	MySQL Connectors	Affected: 6.9.9 and earlier

Date Public

2017-10-17 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.

Action not permitted

CNVD-2017-32283

CVE-2017-10203 (GCVE-0-2017-10203)

Tags

Sightings

Nomenclature

Related by attack behaviour