Vulnerability-Lookup

CNVD-2021-28355

Vulnerability from cnvd - Published: 2021-04-15

Title

CAYIN Technology xPost SQL注入漏洞

Description

CAYIN Technology xPost是中国台湾铠应科技（CAYIN Technology）公司的一套用于会议室管理的数字标牌系统。 CAYIN Technology xPost 2.5及之前版本中存在SQL注入漏洞。该漏洞源于基于数据库的应用缺少对外部输入SQL语句的验证。攻击者可利用该漏洞执行非法SQL命令。

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://www.cayintech.com/

Reference

https://packetstormsecurity.com/files/158141/Cayin-xPost-2.5-SQL-Injection-Remote-Code-Execution.html

Impacted products

Name
CAYIN Technology CAYIN Technology xPost <=2.5

Show details on source website

JSON

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    "cve": {
      "cveNumber": "CVE-2020-7356"
    }
  },
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  "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://www.cayintech.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-28355",
  "openTime": "2021-04-15",
  "products": {
    "product": "CAYIN Technology CAYIN Technology xPost \u003c=2.5"
  },
  "referenceLink": "https://packetstormsecurity.com/files/158141/Cayin-xPost-2.5-SQL-Injection-Remote-Code-Execution.html",
  "serverity": "\u9ad8",
  "submitTime": "2020-06-19",
  "title": "CAYIN Technology xPost SQL\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2020-7356 (GCVE-0-2020-7356)

Vulnerability from cvelistv5 – Published: 2020-08-06 15:45 – Updated: 2024-09-17 03:37

Title

Cayin xPost SQL Injection

Summary

CAYIN xPost suffers from an unauthenticated SQL Injection vulnerability. Input passed via the GET parameter 'wayfinder_seqid' in wayfinder_meeting_input.jsp is not properly sanitized before being returned to the user or used in SQL queries. This can be exploited to manipulate SQL queries by injecting arbitrary SQL code and execute SYSTEM commands.

Severity

10 (Critical)


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

CWE

CWE-89 - SQL Injection

Assigner

rapid7 mitre root

References

2 references

URL	Tags
https://www.zeroscience.mk/en/vulnerabilities/ZSL…	x_refsource_MISC
https://github.com/rapid7/metasploit-framework/pu…	x_refsource_MISC

Impacted products

1 product

Vendor	Product	Version
Cayin Technology	Cayin xPost	Affected: 2.5.18103 Affected: 2.0 Affected: 1.0

Date Public

2020-04-06 00:00

Credits

This issue was discovered by Gjoko Krstic of Zero Science Lab.

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.