Vulnerability-Lookup

CNVD-2021-53903

Vulnerability from cnvd - Published: 2021-07-23

Title

Receita Federal IRPF授权问题漏洞

Description

Receita Federal Imposto de Renda Pessoa Física是Receita Federal公司的应用软件一个个人所得税应用软件。 Receita Federal IRPF中存在授权问题漏洞，该漏洞源于网络系统或产品中缺少身份验证措施或身份验证强度不足，攻击者可通过该漏洞发起中间人攻击。

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://receitafederal.info/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2021-34682

Impacted products

Name
Receita Federal Imposto de Renda Pessoa Física 2021 1.7

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2021-34682"
    }
  },
  "description": "Receita Federal Imposto de Renda Pessoa F\u00edsica\u662fReceita Federal\u516c\u53f8\u7684\u5e94\u7528\u8f6f\u4ef6\u4e00\u4e2a\u4e2a\u4eba\u6240\u5f97\u7a0e\u5e94\u7528\u8f6f\u4ef6\u3002\n\nReceita Federal IRPF\u4e2d\u5b58\u5728\u6388\u6743\u95ee\u9898\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7f51\u7edc\u7cfb\u7edf\u6216\u4ea7\u54c1\u4e2d\u7f3a\u5c11\u8eab\u4efd\u9a8c\u8bc1\u63aa\u65bd\u6216\u8eab\u4efd\u9a8c\u8bc1\u5f3a\u5ea6\u4e0d\u8db3\uff0c\u653b\u51fb\u8005\u53ef\u901a\u8fc7\u8be5\u6f0f\u6d1e\u53d1\u8d77\u4e2d\u95f4\u4eba\u653b\u51fb\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://receitafederal.info/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-53903",
  "openTime": "2021-07-23",
  "products": {
    "product": "Receita Federal Imposto de Renda Pessoa F\u00edsica 2021 1.7"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2021-34682",
  "serverity": "\u4e2d",
  "submitTime": "2021-06-17",
  "title": "Receita Federal IRPF\u6388\u6743\u95ee\u9898\u6f0f\u6d1e"
}

CVE-2021-34682 (GCVE-0-2021-34682)

Vulnerability from cvelistv5 – Published: 2021-06-12 20:09 – Updated: 2024-08-04 00:19

Summary

Receita Federal IRPF 2021 1.7 allows a man-in-the-middle attack against the update feature.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://www.youtube.com/watch?v=vClCaAAfzGg	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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            "url": "https://www.youtube.com/watch?v=vClCaAAfzGg"
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                "product": {
                  "product_data": [
                    {
                      "product_name": "n/a",
                      "version": {
                        "version_data": [
                          {
                            "version_value": "n/a"
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  },
  "cveMetadata": {
    "assignerOrgId": "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.