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CNVD-2022-25217

Vulnerability from cnvd - Published: 2022-03-30

Title

Oracle Solaris存在未明漏洞（CNVD-2022-25217）

Description

Oracle Solaris是美国甲骨文（Oracle）公司的一套UNIX操作系统。 Oracle Solaris存在安全漏洞，该漏洞允许低权限攻击者登录到执行 Oracle Solaris的基础设施来破坏 Oracle Solaris。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某些 Oracle Solaris可访问数据的未经授权的更新、插入或删除访问，以及导致Oracle Solaris的部分拒绝服务（部分 DOS）的未经授权的能力。

Severity

低

Patch Name

Oracle Solaris存在未明漏洞（CNVD-2022-25217）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/cpujan2022.html

Reference

https://nvd.nist.gov/vuln/detail/CVE-2022-21298

Impacted products

Name
Oracle Solaris 11

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2022-21298",
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  "serverity": "\u4f4e",
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CVE-2022-21298 (GCVE-0-2022-21298)

Vulnerability from cvelistv5 – Published: 2022-01-19 11:23 – Updated: 2024-09-24 20:26

Summary

Vulnerability in the Oracle Solaris product of Oracle Systems (component: Install). The supported version that is affected is 11. Easily exploitable vulnerability allows low privileged attacker with logon to the infrastructure where Oracle Solaris executes to compromise Oracle Solaris. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Solaris accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Solaris. CVSS 3.1 Base Score 3.9 (Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:L/AC:L/PR:L/UI:R/S:U/C:N/I:L/A:L).

Severity

3.9 (Low)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2024-09-24 17:44 UTC

CWE

Easily exploitable vulnerability allows low privileged attacker with logon to the infrastructure where Oracle Solaris executes to compromise Oracle Solaris. Successful attacks require human interaction from a person other than the attacker. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Solaris accessible data and unauthorized ability to cause a partial denial of service (partial DOS) of Oracle Solaris.

Assigner

oracle mitre root

References

1 reference

URL	Tags
https://www.oracle.com/security-alerts/cpujan2022.html	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Oracle Corporation	Solaris Operating System	Affected: 11

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.