GCVE Workshop - 22 September 2026 (14:00-18:00), Luxembourg Before The Vulnopticon Conference - Registration

CNVD-2018-10701

Vulnerability from cnvd - Published: 2018-05-31
VLAI
Title
Ansible中间人攻击漏洞
Description
Ansible是美国Ansible公司的一款计算机系统配置管理器,它可用于发布、管理和编排计算机系统。 Ansible 1.2.1之前版本中存在安全漏洞,该漏洞源于程序未能缓存SSH主机密钥。远程攻击者可利用该漏洞实施中间人攻击。
Severity
Patch Name
Ansible中间人攻击漏洞的补丁
Patch Description
Ansible是美国Ansible公司的一款计算机系统配置管理器,它可用于发布、管理和编排计算机系统。 Ansible 1.2.1之前版本中存在安全漏洞,该漏洞源于程序未能缓存SSH主机密钥。远程攻击者可利用该漏洞实施中间人攻击。目前,供应商发布了安全公告及相关补丁信息,修复了此漏洞。
Formal description

厂商已发布了漏洞修复程序,请及时关注更新: https://www.ansible.com/security

Reference
http://www.securityfocus.com/bid/60869
Impacted products
Name
Ansible ansible <1.2.1
Show details on source website

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2013-2233"
    }
  },
  "description": "Ansible\u662f\u7f8e\u56fdAnsible\u516c\u53f8\u7684\u4e00\u6b3e\u8ba1\u7b97\u673a\u7cfb\u7edf\u914d\u7f6e\u7ba1\u7406\u5668\uff0c\u5b83\u53ef\u7528\u4e8e\u53d1\u5e03\u3001\u7ba1\u7406\u548c\u7f16\u6392\u8ba1\u7b97\u673a\u7cfb\u7edf\u3002\r\n\r\nAnsible 1.2.1\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u7f13\u5b58SSH\u4e3b\u673a\u5bc6\u94a5\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\u3002",
  "discovererName": "antong",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u4e86\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttps://www.ansible.com/security",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-10701",
  "openTime": "2018-05-31",
  "patchDescription": "Ansible\u662f\u7f8e\u56fdAnsible\u516c\u53f8\u7684\u4e00\u6b3e\u8ba1\u7b97\u673a\u7cfb\u7edf\u914d\u7f6e\u7ba1\u7406\u5668\uff0c\u5b83\u53ef\u7528\u4e8e\u53d1\u5e03\u3001\u7ba1\u7406\u548c\u7f16\u6392\u8ba1\u7b97\u673a\u7cfb\u7edf\u3002\r\n\r\nAnsible 1.2.1\u4e4b\u524d\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u7f13\u5b58SSH\u4e3b\u673a\u5bc6\u94a5\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Ansible\u4e2d\u95f4\u4eba\u653b\u51fb\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Ansible ansible \u003c1.2.1"
  },
  "referenceLink": "http://www.securityfocus.com/bid/60869",
  "serverity": "\u4e2d",
  "submitTime": "2018-05-08",
  "title": "Ansible\u4e2d\u95f4\u4eba\u653b\u51fb\u6f0f\u6d1e"
}



Log in or create an account to share your comment.




Tags
Taxonomy of the tags.


Loading…

Loading…

Loading…

Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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.

Loading…

Detection rules are retrieved from Rulezet.

Loading…

Loading…

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.


Loading…