Vulnerability-Lookup

CNVD-2022-00599

Vulnerability from cnvd - Published: 2022-01-05

Title

Atomix存在未明漏洞（CNVD-2022-00599）

Description

Atomix是一个可嵌入的库，有助于实现分布式资源的容错性和一致性。它提供了一组丰富的API，用于管理其资源，例如集合，组和并发工具。 Atomix 3.1.5中存在安全漏洞，攻击者可利用该漏洞通过操纵RaftContext中的变量项成为目标集群中的领导节点。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://docs.google.com/presentation/d/1C_IpRfSU-9FMezcHCFZ-qg-15JO-W36yvqcnzI8sQs8/edit#slide=id.ga5c2ce485d_0_0

Reference

https://docs.google.com/presentation/d/1C_IpRfSU-9FMezcHCFZ-qg-15JO-W36yvqcnzI8sQs8/edit?usp=sharing

Impacted products

Name
Atomix Atomix 3.1.5

Show details on source website

JSON

To clipboard

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-35211"
    }
  },
  "description": "Atomix\u662f\u4e00\u4e2a\u53ef\u5d4c\u5165\u7684\u5e93\uff0c\u6709\u52a9\u4e8e\u5b9e\u73b0\u5206\u5e03\u5f0f\u8d44\u6e90\u7684\u5bb9\u9519\u6027\u548c\u4e00\u81f4\u6027\u3002\u5b83\u63d0\u4f9b\u4e86\u4e00\u7ec4\u4e30\u5bcc\u7684API\uff0c\u7528\u4e8e\u7ba1\u7406\u5176\u8d44\u6e90\uff0c\u4f8b\u5982\u96c6\u5408\uff0c\u7ec4\u548c\u5e76\u53d1\u5de5\u5177\u3002\n\nAtomix 3.1.5\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u64cd\u7eb5RaftContext\u4e2d\u7684\u53d8\u91cf\u9879\u6210\u4e3a\u76ee\u6807\u96c6\u7fa4\u4e2d\u7684\u9886\u5bfc\u8282\u70b9\u3002",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://docs.google.com/presentation/d/1C_IpRfSU-9FMezcHCFZ-qg-15JO-W36yvqcnzI8sQs8/edit#slide=id.ga5c2ce485d_0_0",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-00599",
  "openTime": "2022-01-05",
  "products": {
    "product": "Atomix Atomix 3.1.5"
  },
  "referenceLink": "https://docs.google.com/presentation/d/1C_IpRfSU-9FMezcHCFZ-qg-15JO-W36yvqcnzI8sQs8/edit?usp=sharing",
  "serverity": "\u4e2d",
  "submitTime": "2021-12-21",
  "title": "Atomix\u5b58\u5728\u672a\u660e\u6f0f\u6d1e\uff08CNVD-2022-00599\uff09"
}

CVE-2020-35211 (GCVE-0-2020-35211)

Vulnerability from cvelistv5 – Published: 2021-12-16 19:08 – Updated: 2024-08-04 17:02

Summary

An issue in Atomix v3.1.5 allows unauthorized Atomix nodes to become the lead node in a target cluster via manipulation of the variable terms in RaftContext.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://docs.google.com/presentation/d/1C_IpRfSU-…	x_refsource_MISC

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.