Vulnerability-Lookup

CNVD-2019-42777

Vulnerability from cnvd - Published: 2019-11-29

Title

Microsoft Azure Active Directory Authentication Library权限提升漏洞

Description

Microsoft Azure Active Directory Authentication Library是美国微软（Microsoft）公司的一款身份验证库。该产品允许客户端应用程序对用户进行身份验证。 Azure Active Directory Authentication Library中的On-Behalf-Of flow存在权限提升漏洞，攻击者可利用该漏洞在其他用户的上下文中执行操作。

Severity

中

Patch Name

Microsoft Azure Active Directory Authentication Library权限提升漏洞的补丁

Patch Description

Formal description

厂商已发布了漏洞修复程序，请及时关注更新： https://portal.msrc.microsoft.com/zh-CN/security-guidance/advisory/CVE-2019-1258

Reference

https://portal.msrc.microsoft.com/en-US/security-guidance/advisory/CVE-2019-1258

Impacted products

Name
Microsoft Azure Active Directory Authentication Library

Show details on source website

JSON

To clipboard

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      "cveNumber": "CVE-2019-1258",
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  "number": "CNVD-2019-42777",
  "openTime": "2019-11-29",
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  "submitTime": "2019-08-14",
  "title": "Microsoft Azure Active Directory Authentication Library\u6743\u9650\u63d0\u5347\u6f0f\u6d1e"
}

CVE-2019-1258 (GCVE-0-2019-1258)

Vulnerability from cvelistv5 – Published: 2019-08-14 20:55 – Updated: 2024-08-04 18:13

Title

Azure Active Directory Authentication Library Elevation of Privilege Vulnerability

Summary

An elevation of privilege vulnerability exists in Azure Active Directory Authentication Library On-Behalf-Of flow, in the way the library caches tokens. This vulnerability allows an authenticated attacker to perform actions in context of another user. The authenticated attacker can exploit this vulneraiblity by accessing a service configured for On-Behalf-Of flow that assigns incorrect tokens. This security update addresses the vulnerability by removing fallback cache look-up for On-Behalf-Of scenarios.

Severity

No CVSS data available.

CWE

Elevation of Privilege

Assigner

microsoft mitre root

References

1 reference

URL	Tags
https://portal.msrc.microsoft.com/en-US/security-…	x_refsource_MISC

Impacted products

2 products

Vendor	Product	Version
Microsoft	ADAL.NET	Affected: 5.0.0 , < publication (custom) cpe:2.3:a:microsoft:active_directory_authentication_library::::::.net::*
Microsoft	Nuget 5.2.0	Affected: 5.0.0 , < publication (custom) cpe:2.3:a:microsoft:nuget:5.2.0:::::::*

Date Public

2019-08-14 07:00

Show details on NVD website

JSON

To clipboard

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    "dateReserved": "2018-11-26T00:00:00.000Z",
    "dateUpdated": "2024-08-04T18:13:29.539Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.