Vulnerability-Lookup

CNVD-2020-73502

Vulnerability from cnvd - Published: 2020-12-23

Title

QuantConnect Lean代码问题漏洞

Description

Quantconnect Lean是Quantconnect公司的一个基于C＃语言用于策略研究，回测和实时交易的支持跨平台的算法交易引擎。 QuantConnect Lean 2.3.0.0版本至2.4.0.1版本存在安全漏洞，该漏洞源于Json中TypeNameHandling属性的未能安全配置。目前没有详细漏洞细节提供。

Severity

高

Formal description

目前厂商暂未发布修复措施解决此安全问题，建议使用此软件的用户随时关注厂商主页或参考网址以获取解决办法： https://github.com/QuantConnect/Lean/issues/3537

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-20136

Impacted products

Name
Quantconnect Lean >=2.3.0.0，<=2.4.0.1

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-20136",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-20136"
    }
  },
  "description": "Quantconnect Lean\u662fQuantconnect\u516c\u53f8\u7684\u4e00\u4e2a\u57fa\u4e8eC\uff03\u8bed\u8a00\u7528\u4e8e\u7b56\u7565\u7814\u7a76\uff0c\u56de\u6d4b\u548c\u5b9e\u65f6\u4ea4\u6613\u7684\u652f\u6301\u8de8\u5e73\u53f0\u7684\u7b97\u6cd5\u4ea4\u6613\u5f15\u64ce\u3002\n\nQuantConnect Lean 2.3.0.0\u7248\u672c\u81f32.4.0.1\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eJson\u4e2dTypeNameHandling\u5c5e\u6027\u7684\u672a\u80fd\u5b89\u5168\u914d\u7f6e\u3002\u76ee\u524d\u6ca1\u6709\u8be6\u7ec6\u6f0f\u6d1e\u7ec6\u8282\u63d0\u4f9b\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u6682\u672a\u53d1\u5e03\u4fee\u590d\u63aa\u65bd\u89e3\u51b3\u6b64\u5b89\u5168\u95ee\u9898\uff0c\u5efa\u8bae\u4f7f\u7528\u6b64\u8f6f\u4ef6\u7684\u7528\u6237\u968f\u65f6\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u6216\u53c2\u8003\u7f51\u5740\u4ee5\u83b7\u53d6\u89e3\u51b3\u529e\u6cd5\uff1a\r\nhttps://github.com/QuantConnect/Lean/issues/3537",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-73502",
  "openTime": "2020-12-23",
  "products": {
    "product": "Quantconnect Lean \u003e=2.3.0.0\uff0c\u003c=2.4.0.1"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-20136",
  "serverity": "\u9ad8",
  "submitTime": "2020-12-18",
  "title": "QuantConnect Lean\u4ee3\u7801\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2020-20136 (GCVE-0-2020-20136)

Vulnerability from cvelistv5 – Published: 2020-12-14 18:30 – Updated: 2024-08-04 14:15

Summary

QuantConnect Lean versions from 2.3.0.0 to 2.4.0.1 are affected by an insecure deserialization vulnerability due to insecure configuration of TypeNameHandling property in Json.NET library.

Severity

No CVSS data available.

CWE

Assigner

mitre CNA under the mitre root

CNA scorecard E 27/100 over 2350 records in the last 180 days details

References

1 reference

URL	Tags
https://github.com/QuantConnect/Lean/issues/3537	x_refsource_MISC

Show details on NVD website

JSON

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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.

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.
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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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CNVD-2020-73502

CVE-2020-20136 (GCVE-0-2020-20136)

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