Vulnerability-Lookup

CNVD-2022-85523

Vulnerability from cnvd - Published: 2022-12-07

Title

CAE LearningSpace Enterprise跨站脚本漏洞

Description

CAE LearningSpace Enterprise是加拿大CAE公司的一个临床模拟管理平台。旨在捕获团队培训和个人模拟实践事件，以供审查、汇报和评估。 CAE LearningSpace Enterprise (with Intuity License) image 267r patch 639版本存在跨站脚本漏洞，该漏洞源于ontouchmove和onpointerup对用户提供的数据缺乏有效过滤与转义，攻击者可利用漏洞注入跨站代码，发起XSS攻击。

Severity

中

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.caehealthcare.com/

Reference

https://github.com/nicbrinkley/CVE-2022-45472

Impacted products

Name
cae LearningSpace Enterprise image 267r patch 639

Show details on source website

JSON

To clipboard

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    "cve": {
      "cveNumber": "CVE-2022-45472",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2022-45472"
    }
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  "description": "CAE LearningSpace Enterprise\u662f\u52a0\u62ff\u5927CAE\u516c\u53f8\u7684\u4e00\u4e2a\u4e34\u5e8a\u6a21\u62df\u7ba1\u7406\u5e73\u53f0\u3002\u65e8\u5728\u6355\u83b7\u56e2\u961f\u57f9\u8bad\u548c\u4e2a\u4eba\u6a21\u62df\u5b9e\u8df5\u4e8b\u4ef6\uff0c\u4ee5\u4f9b\u5ba1\u67e5\u3001\u6c47\u62a5\u548c\u8bc4\u4f30\u3002\n\nCAE LearningSpace Enterprise (with Intuity License) image 267r patch 639\u7248\u672c\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eontouchmove\u548conpointerup\u5bf9\u7528\u6237\u63d0\u4f9b\u7684\u6570\u636e\u7f3a\u4e4f\u6709\u6548\u8fc7\u6ee4\u4e0e\u8f6c\u4e49\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u6f0f\u6d1e\u6ce8\u5165\u8de8\u7ad9\u4ee3\u7801\uff0c\u53d1\u8d77XSS\u653b\u51fb\u3002",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2022-85523",
  "openTime": "2022-12-07",
  "products": {
    "product": "cae LearningSpace Enterprise image 267r patch 639"
  },
  "referenceLink": "https://github.com/nicbrinkley/CVE-2022-45472",
  "serverity": "\u4e2d",
  "submitTime": "2022-11-25",
  "title": "CAE LearningSpace Enterprise\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}

CVE-2022-45472 (GCVE-0-2022-45472)

Vulnerability from cvelistv5 – Published: 2022-11-23 00:00 – Updated: 2025-04-25 19:05

Summary

CAE LearningSpace Enterprise (with Intuity License) image 267r patch 639 allows DOM XSS, related to ontouchmove and onpointerup.

Severity

5.4 (Medium)


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

SSVC

Exploitation: none Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-04-25 19:04 UTC

CWE

n/a
CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Assigner

mitre mitre root

References

2 references

URL	Tags
https://www.caehealthcare.com/learningspace/enterprise/
https://github.com/nicbrinkley/CVE-2022-45472

Show details on NVD website

JSON

To clipboard

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            "tags": [
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              "baseSeverity": "MEDIUM",
              "confidentialityImpact": "LOW",
              "integrityImpact": "LOW",
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              "scope": "CHANGED",
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                "timestamp": "2025-04-25T19:04:55.711628Z",
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        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
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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.