Vulnerability-Lookup

CNVD-2021-39681

Vulnerability from cnvd - Published: 2021-06-05

Title

Emote Remote Mouse信息泄露漏洞

Description

Remote Mouse是一个应用程序。 Emote Remote Mouse 4.0.0.0版本及之前版本存在安全漏洞，攻击者可利用该漏洞可以在中间运行受害者下载恶意二进制文件来代替真正的更新，而不存在SSL错误或警告。

Severity

中

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://remotemouse.net/

Reference

http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-27574

Impacted products

Name
Emote Emote Remote Mouse <=4.0.0.0

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-27574",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2021-27574"
    }
  },
  "description": "Remote Mouse\u662f\u4e00\u4e2a\u5e94\u7528\u7a0b\u5e8f\u3002\n\nEmote Remote Mouse 4.0.0.0\u7248\u672c\u53ca\u4e4b\u524d\u7248\u672c\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u5728\u4e2d\u95f4\u8fd0\u884c\u53d7\u5bb3\u8005\u4e0b\u8f7d\u6076\u610f\u4e8c\u8fdb\u5236\u6587\u4ef6\u6765\u4ee3\u66ff\u771f\u6b63\u7684\u66f4\u65b0\uff0c\u800c\u4e0d\u5b58\u5728SSL\u9519\u8bef\u6216\u8b66\u544a\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\n\r\nhttps://remotemouse.net/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-39681",
  "openTime": "2021-06-05",
  "products": {
    "product": "Emote Emote Remote Mouse \u003c=4.0.0.0"
  },
  "referenceLink": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2021-27574",
  "serverity": "\u4e2d",
  "submitTime": "2021-06-02",
  "title": "Emote Remote Mouse\u4fe1\u606f\u6cc4\u9732\u6f0f\u6d1e"
}

CVE-2021-27574 (GCVE-0-2021-27574)

Vulnerability from cvelistv5 – Published: 2021-05-07 16:32 – Updated: 2024-08-03 21:26

Summary

An issue was discovered in Emote Remote Mouse through 4.0.0.0. It uses cleartext HTTP to check, and request, updates. Thus, attackers can machine-in-the-middle a victim to download a malicious binary in place of the real update, with no SSL errors or warnings.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
https://remotemouse.net/blog/	x_refsource_MISC
https://axelp.io/MouseTrap	x_refsource_MISC

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.