Vulnerability-Lookup

CNVD-2020-16815

Vulnerability from cnvd - Published: 2020-03-10

Title

Schben Adive跨站请求伪造漏洞

Description

Schben Adive是一款基于PHP的Web开发框架。 Schben Adive 2.0.7版本中的Internal/Views/config.php文件存在跨站请求伪造漏洞，该漏洞源于WEB应用未充分验证请求是否来自可信用户，攻击者可利用该漏洞通过受影响客户端向服务器发送非预期的请求。

Severity

中

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： https://www.adive.es/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2019-14346 https://packetstormsecurity.com/files/153989/Adive-Framework-2.0.7-Cross-Site-Request-Forgery.html

Impacted products

Name
adive Schben Adive 2.0.7

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2019-14346",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2019-14346"
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  "description": "Schben Adive\u662f\u4e00\u6b3e\u57fa\u4e8ePHP\u7684Web\u5f00\u53d1\u6846\u67b6\u3002\n\nSchben Adive 2.0.7\u7248\u672c\u4e2d\u7684Internal/Views/config.php\u6587\u4ef6\u5b58\u5728\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8eWEB\u5e94\u7528\u672a\u5145\u5206\u9a8c\u8bc1\u8bf7\u6c42\u662f\u5426\u6765\u81ea\u53ef\u4fe1\u7528\u6237\uff0c\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7\u53d7\u5f71\u54cd\u5ba2\u6237\u7aef\u5411\u670d\u52a1\u5668\u53d1\u9001\u975e\u9884\u671f\u7684\u8bf7\u6c42\u3002",
  "formalWay": "\u5382\u5546\u5c1a\u672a\u63d0\u4f9b\u6f0f\u6d1e\u4fee\u590d\u65b9\u6848\uff0c\u8bf7\u5173\u6ce8\u5382\u5546\u4e3b\u9875\u66f4\u65b0\uff1a\r\nhttps://www.adive.es/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2020-16815",
  "openTime": "2020-03-10",
  "products": {
    "product": "adive Schben Adive 2.0.7"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2019-14346\r\nhttps://packetstormsecurity.com/files/153989/Adive-Framework-2.0.7-Cross-Site-Request-Forgery.html",
  "serverity": "\u4e2d",
  "submitTime": "2019-08-07",
  "title": "Schben Adive\u8de8\u7ad9\u8bf7\u6c42\u4f2a\u9020\u6f0f\u6d1e"
}

CVE-2019-14346 (GCVE-0-2019-14346)

Vulnerability from cvelistv5 – Published: 2019-08-06 14:23 – Updated: 2024-08-05 00:12

Summary

Internal/Views/config.php in Schben Adive 2.0.7 allows admin/config CSRF to change a user password.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

3 references

URL	Tags
https://www.adive.es/	x_refsource_MISC
https://hackpuntes.com/cve-2019-14346-adive-frame…	x_refsource_MISC
http://packetstormsecurity.com/files/153989/Adive…	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.