Vulnerability-Lookup

CNVD-2021-49080

Vulnerability from cnvd - Published: 2021-07-10

Title

Kaseya VSA输入验证错误漏洞

Description

Kaseya VSA RMM是瑞士卡西亚（Kaseya）公司的一套远程监控和终端管理解决方案。 Kaseya VSA存在输入验证错误漏洞，该漏洞源于网络系统或产品未对输入的数据进行正确的验证。远程攻击者可利用该漏洞危及受影响的系统。

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.cybersecurity-help.cz/vdb/SB2021070501

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-30116

Impacted products

Name
Kaseya Kaseya VSA

Show details on source website

JSON

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      "cveNumber": "CVE-2021-30116",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-49080",
  "openTime": "2021-07-10",
  "products": {
    "product": "Kaseya Kaseya VSA"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-30116",
  "serverity": "\u9ad8",
  "submitTime": "2021-07-06",
  "title": "Kaseya VSA\u8f93\u5165\u9a8c\u8bc1\u9519\u8bef\u6f0f\u6d1e"
}

CVE-2021-30116 (GCVE-0-2021-30116)

Vulnerability from cvelistv5 – Published: 2021-07-09 00:00 – Updated: 2026-08-14 03:55

Title

Unauthenticated credential leak and business logic flaw in Kaseya VSA <= v9.5.6

Summary

Kaseya VSA before 9.5.7 allows credential disclosure, as exploited in the wild in July 2021. By default Kaseya VSA on premise offers a download page where the clients for the installation can be downloaded. The default URL for this page is https://x.x.x.x/dl.asp When an attacker download a client for Windows and installs it, the file KaseyaD.ini is generated (C:\Program Files (x86)\Kaseya\XXXXXXXXXX\KaseyaD.ini) which contains an Agent_Guid and AgentPassword This Agent_Guid and AgentPassword can be used to log in on dl.asp (https://x.x.x.x/dl.asp?un=840997037507813&pw=113cc622839a4077a84837485ced6b93e440bf66d44057713cb2f95e503a06d9) This request authenticates the client and returns a sessionId cookie that can be used in subsequent attacks to bypass authentication. Security issues discovered --- * Unauthenticated download page leaks credentials * Credentials of agent software can be used to obtain a sessionId (cookie) that can be used for services not intended for use by agents * dl.asp accepts credentials via a GET request * Access to KaseyaD.ini gives an attacker access to sufficient information to penetrate the Kaseya installation and its clients. Impact --- Via the page /dl.asp enough information can be obtained to give an attacker a sessionId that can be used to execute further (semi-authenticated) attacks against the system.

Severity

10 (Critical)


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

SSVC

Exploitation: active Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2021-07-06 00:00 UTC

CWE

n/a
CWE-522 - Insufficiently Protected Credentials

Assigner

mitre mitre root

References

5 references

URL	Tags
https://csirt.divd.nl/2021/07/04/Kaseya-Case-Update-2/
https://helpdesk.kaseya.com/hc/en-gb/articles/440…
https://csirt.divd.nl/2021/07/07/Kaseya-Limited-D…
https://www.secpod.com/blog/kaseya-vsa-zero-day-b…
https://www.cisa.gov/known-exploited-vulnerabilit…	government-resource

Credits

Discovered by Wietse Boonstra of DIVD Additional research by Frank Breedijk of DIVD

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.