Vulnerability-Lookup

CNVD-2017-10825

Vulnerability from cnvd - Published: 2017-06-23

Title

Pi Engine跨站脚本漏洞

Description

PI Engine是一款开源的CMS系统，该系统在一些互联网公司内部有比较广泛的应用。 PI Engine存在跨站脚本漏洞，该漏洞源于程序未能正确验证用户提供的输入。当不知情的用户浏览受影响网站时，攻击者可利用该漏洞在用户浏览器中执行任意脚本代码，窃取基于cookie的身份验证凭据并执行其他攻击。

Severity

中

Patch Name

Pi Engine跨站脚本漏洞的补丁

Patch Description

PI Engine是一款开源的CMS系统，该系统在一些互联网公司内部有比较广泛的应用。 PI Engine存在跨站脚本漏洞，该漏洞源于程序未能正确验证用户提供的输入。当不知情的用户浏览受影响网站时，攻击者可利用该漏洞在用户浏览器中执行任意脚本代码，窃取基于cookie的身份验证凭据并执行其他攻击。目前，供应商发布了安全公告及相关补丁信息，修复了此漏洞。

Formal description

用户可参考如下厂商提供的安全补丁以修复该漏洞： https://github.com/pi-engine/pi/issues/1523

Reference

http://www.securityfocus.com/bid/97061 https://nvd.nist.gov/vuln/detail/CVE-2017-7251

Impacted products

Name
pi-engine pi 2.5.0

Show details on source website

JSON

To clipboard

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    "bid": {
      "bidNumber": "97061"
    }
  },
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    "cve": {
      "cveNumber": "CVE-2017-7251",
      "cveUrl": "http://cve.mitre.org/cgi-bin/cvename.cgi?name=CVE-2017-7251"
    }
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  "description": "PI Engine\u662f\u4e00\u6b3e\u5f00\u6e90\u7684CMS\u7cfb\u7edf\uff0c\u8be5\u7cfb\u7edf\u5728\u4e00\u4e9b\u4e92\u8054\u7f51\u516c\u53f8\u5185\u90e8\u6709\u6bd4\u8f83\u5e7f\u6cdb\u7684\u5e94\u7528\u3002\r\n\r\nPI Engine\u5b58\u5728\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u7a0b\u5e8f\u672a\u80fd\u6b63\u786e\u9a8c\u8bc1\u7528\u6237\u63d0\u4f9b\u7684\u8f93\u5165\u3002\u5f53\u4e0d\u77e5\u60c5\u7684\u7528\u6237\u6d4f\u89c8\u53d7\u5f71\u54cd\u7f51\u7ad9\u65f6\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u5728\u7528\u6237\u6d4f\u89c8\u5668\u4e2d\u6267\u884c\u4efb\u610f\u811a\u672c\u4ee3\u7801\uff0c\u7a83\u53d6\u57fa\u4e8ecookie\u7684\u8eab\u4efd\u9a8c\u8bc1\u51ed\u636e\u5e76\u6267\u884c\u5176\u4ed6\u653b\u51fb\u3002",
  "discovererName": "Haojun Hou in ADLab of Venustech",
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  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2017-10825",
  "openTime": "2017-06-23",
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  "patchName": "Pi Engine\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "pi-engine pi 2.5.0"
  },
  "referenceLink": "http://www.securityfocus.com/bid/97061\r\nhttps://nvd.nist.gov/vuln/detail/CVE-2017-7251",
  "serverity": "\u4e2d",
  "submitTime": "2017-05-24",
  "title": "Pi Engine\u8de8\u7ad9\u811a\u672c\u6f0f\u6d1e"
}

CVE-2017-7251 (GCVE-0-2017-7251)

Vulnerability from cvelistv5 – Published: 2017-03-23 22:00 – Updated: 2024-08-05 15:56

Summary

A Cross-Site Scripting (XSS) was discovered in pi-engine/pi 2.5.0. The vulnerability exists due to insufficient filtration of user-supplied data (preview) passed to the "pi-develop/www/script/editor/markitup/preview/markdown.php" URL. An attacker could execute arbitrary HTML and script code in a browser in the context of the vulnerable website.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

2 references

URL	Tags
http://www.securityfocus.com/bid/97061	vdb-entryx_refsource_BID
https://github.com/pi-engine/pi/issues/1523	x_refsource_CONFIRM

Date Public

2017-03-23 00:00

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.