Vulnerability-Lookup

CNVD-2018-21225

Vulnerability from cnvd - Published: 2018-10-18

Title

Intuit Lacerte 2017 for Windows信息泄露漏洞

Description

Intuit Lacerte 2017 for Windows是美国Intuit公司的一套税务申报软件。该软件具有自动计算、自动诊断等特点。基于Windows平台的Intuit Lacerte 2017中存在安全漏洞，该漏洞源于在客户端/服务器环境中，程序借助SMB以明文的形式传递整个用户列表（包含：用户全称、社会安全号、地址、职位等敏感信息）。攻击者可利用该漏洞获取敏感信息或实施中间人攻击。

Severity

中

Patch Name

Intuit Lacerte 2017 for Windows信息泄露漏洞的补丁

Patch Description

Formal description

目前厂商已发布升级补丁以修复漏洞，详情请关注厂商主页： https://proconnect.intuit.com/lacerte/

Reference

https://corporateblue.com/your-taxes-are-being-leaked/

Impacted products

Name
Intuit Lacerte 2017 for Windows

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2018-11338"
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  "description": "Intuit Lacerte 2017 for Windows\u662f\u7f8e\u56fdIntuit\u516c\u53f8\u7684\u4e00\u5957\u7a0e\u52a1\u7533\u62a5\u8f6f\u4ef6\u3002\u8be5\u8f6f\u4ef6\u5177\u6709\u81ea\u52a8\u8ba1\u7b97\u3001\u81ea\u52a8\u8bca\u65ad\u7b49\u7279\u70b9\u3002\r\n\r\n\u57fa\u4e8eWindows\u5e73\u53f0\u7684Intuit Lacerte 2017\u4e2d\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5728\u5ba2\u6237\u7aef/\u670d\u52a1\u5668\u73af\u5883\u4e2d\uff0c\u7a0b\u5e8f\u501f\u52a9SMB\u4ee5\u660e\u6587\u7684\u5f62\u5f0f\u4f20\u9012\u6574\u4e2a\u7528\u6237\u5217\u8868\uff08\u5305\u542b\uff1a\u7528\u6237\u5168\u79f0\u3001\u793e\u4f1a\u5b89\u5168\u53f7\u3001\u5730\u5740\u3001\u804c\u4f4d\u7b49\u654f\u611f\u4fe1\u606f\uff09\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u83b7\u53d6\u654f\u611f\u4fe1\u606f\u6216\u5b9e\u65bd\u4e2d\u95f4\u4eba\u653b\u51fb\u3002",
  "discovererName": "unknown",
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  "number": "CNVD-2018-21225",
  "openTime": "2018-10-18",
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  "referenceLink": "https://corporateblue.com/your-taxes-are-being-leaked/",
  "serverity": "\u4e2d",
  "submitTime": "2018-08-02",
  "title": "Intuit Lacerte 2017 for Windows\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2018-11338 (GCVE-0-2018-11338)

Vulnerability from cvelistv5 – Published: 2018-07-31 14:00 – Updated: 2024-08-05 08:01

Summary

Intuit Lacerte 2017 for Windows in a client/server environment transfers the entire customer list in cleartext over SMB, which allows attackers to (1) obtain sensitive information by sniffing the network or (2) conduct man-in-the-middle (MITM) attacks via unspecified vectors. The customer list contains each customer's full name, social security number (SSN), address, job title, phone number, Email address, spouse's phone/Email address, and other sensitive information. After the client software authenticates to the server database, the server sends the customer list. There is no need for further exploitation as all sensitive data is exposed. This vulnerability was validated on Intuit Lacerte 2017, however older versions of Lacerte may be vulnerable.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://corporateblue.com/your-taxes-are-being-leaked/	x_refsource_MISC
https://www.themikewylie.com/intuit-lacerte-vulne…	x_refsource_MISC

Date Public

2018-07-25 00:00

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.

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.