Vulnerability-Lookup

CNVD-2025-20436

Vulnerability from cnvd - Published: 2025-09-05

Title

Emby Server任意文件读取漏洞

Description

Emby Server是一款个人媒体服务器软件，支持存储、管理和流化个人媒体内容，支持多种设备访问。 Emby Server存在任意文件读取漏洞，该漏洞源于Windows上的Emby服务器未正确限制来自未授权角色的资源访问。攻击者可利用漏洞读取服务商的任意文件。

Severity

中

Formal description

目前厂商尚未发布升级程序修复该安全问题，详情见厂商官网： https://securitylab.github.com/advisories/GHSL-2021-051-emby/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-32833

Impacted products

Name
Emby Server Emby Server 4.6.4.0

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2021-32833",
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  "formalWay": "\u76ee\u524d\u5382\u5546\u5c1a\u672a\u53d1\u5e03\u5347\u7ea7\u7a0b\u5e8f\u4fee\u590d\u8be5\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u89c1\u5382\u5546\u5b98\u7f51\uff1a\r\nhttps://securitylab.github.com/advisories/GHSL-2021-051-emby/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-20436",
  "openTime": "2025-09-05",
  "products": {
    "product": "Emby Server Emby Server 4.6.4.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-32833",
  "serverity": "\u4e2d",
  "submitTime": "2021-09-12",
  "title": "Emby Server\u4efb\u610f\u6587\u4ef6\u8bfb\u53d6\u6f0f\u6d1e"
}

CVE-2021-32833 (GCVE-0-2021-32833)

Vulnerability from cvelistv5 – Published: 2021-09-09 01:30 – Updated: 2024-08-03 23:33

Title

Unauthenticated file read in Emby Server

Summary

Emby Server is a personal media server with apps on many devices. In Emby Server on Windows there is a set of arbitrary file read vulnerabilities. This vulnerability is known to exist in version 4.6.4.0 and may not be patched in later versions. Known vulnerable routes are /Videos/Id/hls/PlaylistId/SegmentId.SegmentContainer, /Images/Ratings/theme/name and /Images/MediaInfo/theme/name. For more details including proof of concept code, refer to the referenced GHSL-2021-051. This issue may lead to unauthorized access to the system especially when Emby Server is configured to be accessible from the Internet.

Severity

8.6 (High)


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

CWE

CWE-552 - Files or Directories Accessible to External Parties

Assigner

GitHub_M CNA under the mitre root

CNA scorecard C 72/100 over 7609 records in the last 180 days details

References

1 reference

URL	Tags
https://securitylab.github.com/advisories/GHSL-20…	x_refsource_CONFIRM

Impacted products

1 product

Vendor	Product	Version
MediaBrowser	Emby.Releases	Affected: <= 4.6.4.0

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.

Vulnerability timeline

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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.

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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.

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