Vulnerability-Lookup

CNVD-2020-53317

Vulnerability from cnvd - Published: 2020-09-23

Title

Valve Steam Client存在未明漏洞

Description

Valve Steam是美国Valve公司的一套游戏发行管理平台。该平台提供数字版权管理、多人游戏、流媒体和社交网络服务等功能。 Valve Steam Client 2.10.91.91版本中存在安全漏洞，本地攻击者可利用该漏洞以较高的权限执行恶意的二进制文件。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://www.valvesoftware.com/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-15530

Impacted products

Name
Valve Steam Client 2.10.91.91

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-15530"
    }
  },
  "description": "Valve Steam\u662f\u7f8e\u56fdValve\u516c\u53f8\u7684\u4e00\u5957\u6e38\u620f\u53d1\u884c\u7ba1\u7406\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u63d0\u4f9b\u6570\u5b57\u7248\u6743\u7ba1\u7406\u3001\u591a\u4eba\u6e38\u620f\u3001\u6d41\u5a92\u4f53\u548c\u793e\u4ea4\u7f51\u7edc\u670d\u52a1\u7b49\u529f\u80fd\u3002\n\nValve Steam Client 2.10.91.91\u7248\u672c\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u4ee5\u8f83\u9ad8\u7684\u6743\u9650\u6267\u884c\u6076\u610f\u7684\u4e8c\u8fdb\u5236\u6587\u4ef6\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://www.valvesoftware.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-53317",
  "openTime": "2020-09-23",
  "products": {
    "product": "Valve Steam Client 2.10.91.91"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-15530",
  "serverity": "\u9ad8",
  "submitTime": "2020-07-06",
  "title": "Valve Steam Client\u5b58\u5728\u672a\u660e\u6f0f\u6d1e"
}

CVE-2020-15530 (GCVE-0-2020-15530)

Vulnerability from cvelistv5 – Published: 2020-07-05 00:31 – Updated: 2024-08-04 13:15

Summary

An issue was discovered in Valve Steam Client 2.10.91.91. The installer allows local users to gain NT AUTHORITY\SYSTEM privileges because some parts of %PROGRAMFILES(X86)%\Steam and/or %COMMONPROGRAMFILES(X86)%\Steam have weak permissions during a critical time window. An attacker can make this time window arbitrarily long by using opportunistic locks.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
http://daniels-it-blog.blogspot.com/2020/07/steam…	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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            "url": "http://daniels-it-blog.blogspot.com/2020/07/steam-arbitrary-code-execution-part-2.html"
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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.