Vulnerability-Lookup

CNVD-2017-08240

Vulnerability from cnvd - Published: 2017-06-05

Title

Oracle MySQL Cluster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。Oracle MySQL Cluster是其中的一个适用于分布式计算环境的高实用、高冗余版本。 Oracle MySQL中的MySQL Cluster组件的Cluster:DD子组件存在拒绝服务漏洞。攻击者可利用该漏洞执行未授权更新、插入或删除数据，造成拒绝服务，影响数据的完整性和可用性。

Severity

中

Patch Name

Oracle MySQL Cluster拒绝服务漏洞的补丁

Patch Description

Formal description

用户可参考如下厂商提供的安全补丁以修复该漏洞： http://www.oracle.com/technetwork/security-advisory/cpuapr2017-3236618.html

Reference

http://www.oracle.com/technetwork/security-advisory/cpuapr2017-3236618.html https://nvd.nist.gov/vuln/detail/CVE-2017-3304 http://www.securityfocus.com/bid/97815

Impacted products

Name
['Oracle MySQL Cluster <=7.2.27', 'Oracle MySQL Cluster <=7.3.16', 'Oracle MySQL Cluster <=7.4.14', 'Oracle MySQL Cluster <=7.5.5']

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JSON

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  "number": "CNVD-2017-08240",
  "openTime": "2017-06-05",
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  "submitTime": "2017-05-11",
  "title": "Oracle MySQL Cluster\u62d2\u7edd\u670d\u52a1\u6f0f\u6d1e"
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CVE-2017-3304 (GCVE-0-2017-3304)

Vulnerability from cvelistv5 – Published: 2017-04-24 19:00 – Updated: 2024-10-07 16:22

Summary

Vulnerability in the MySQL Cluster component of Oracle MySQL (subcomponent: Cluster: DD). Supported versions that are affected are 7.2.27 and earlier, 7.3.16 and earlier, 7.4.14 and earlier and 7.5.5 and earlier. Easily "exploitable" vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Cluster. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of MySQL Cluster accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of MySQL Cluster. CVSS 3.0 Base Score 5.4 (Integrity and Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:L/UI:N/S:U/C:N/I:L/A:L).

Severity

No CVSS data available.

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-10-07 15:46 UTC

CWE

Easily "exploitable" vulnerability allows low privileged attacker with network access via multiple protocols to compromise MySQL Cluster. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some 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

3 references

URL	Tags
http://www.securitytracker.com/id/1038287	vdb-entryx_refsource_SECTRACK
http://www.oracle.com/technetwork/security-adviso…	x_refsource_CONFIRM
http://www.securityfocus.com/bid/97815	vdb-entryx_refsource_BID

Impacted products

1 product

Vendor	Product	Version
Oracle Corporation	MySQL Cluster	Affected: 7.2.27 and earlier Affected: 7.3.16 and earlier Affected: 7.4.14 and earlier Affected: 7.5.5 and earlier

Date Public

2017-04-18 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.

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.