Vulnerability-Lookup

CNVD-2021-83554

Vulnerability from cnvd - Published: 2021-10-26

Title

Sugarcrm SugarCRM跨站脚本漏洞

Description

Sugarcrm SugarCRM是美国SugarCRM（Sugarcrm）公司的一套开源的客户关系管理系统（CRM）。该系统支持对不同的客户需求进行差异化营销、管理和分配销售线索，实现销售代表的信息共享和追踪。 SugarCRM存在安全漏洞，攻击者可利用该漏洞可以通过进入主地址状态或备用地址状态输入字段的手工有效负载执行任意web脚本或HTML。

Severity

低

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.vulnerability-lab.com/get_content.php?id=2249

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-28956

Impacted products

Name
Sugarcrm SugarCRM 6.5.18

Show details on source website

JSON

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-28956"
    }
  },
  "description": "Sugarcrm SugarCRM\u662f\u7f8e\u56fdSugarCRM\uff08Sugarcrm\uff09\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u5ba2\u6237\u5173\u7cfb\u7ba1\u7406\u7cfb\u7edf\uff08CRM\uff09\u3002\u8be5\u7cfb\u7edf\u652f\u6301\u5bf9\u4e0d\u540c\u7684\u5ba2\u6237\u9700\u6c42\u8fdb\u884c\u5dee\u5f02\u5316\u8425\u9500\u3001\u7ba1\u7406\u548c\u5206\u914d\u9500\u552e\u7ebf\u7d22\uff0c\u5b9e\u73b0\u9500\u552e\u4ee3\u8868\u7684\u4fe1\u606f\u5171\u4eab\u548c\u8ffd\u8e2a\u3002\n\nSugarCRM\u5b58\u5728\u5b89\u5168\u6f0f\u6d1e\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u4ee5\u901a\u8fc7\u8fdb\u5165\u4e3b\u5730\u5740\u72b6\u6001\u6216\u5907\u7528\u5730\u5740\u72b6\u6001\u8f93\u5165\u5b57\u6bb5\u7684\u624b\u5de5\u6709\u6548\u8d1f\u8f7d\u6267\u884c\u4efb\u610fweb\u811a\u672c\u6216HTML\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://www.vulnerability-lab.com/get_content.php?id=2249",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-83554",
  "openTime": "2021-10-26",
  "products": {
    "product": "Sugarcrm SugarCRM 6.5.18"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-28956",
  "serverity": "\u4f4e",
  "submitTime": "2021-10-26",
  "title": "Sugarcrm SugarCRM\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}

CVE-2020-28956 (GCVE-0-2020-28956)

Vulnerability from cvelistv5 – Published: 2021-10-22 19:20 – Updated: 2024-08-04 16:48

Summary

Multiple cross-site scripting (XSS) vulnerabilities in the Sales module of SugarCRM v6.5.18 allows attackers to execute arbitrary web scripts or HTML via crafted payloads entered into the primary address state or alternate address state input fields.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://www.vulnerability-lab.com/get_content.php…	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.