Vulnerability-Lookup

CNVD-2018-01088

Vulnerability from cnvd - Published: 2018-01-17

Title

Desdev DedeCMS SQL注入漏洞（CNVD-2018-01088）

Description

Desdev DedeCMS（织梦内容管理系统）是中国卓卓网络（Desdev）科技有限公司的一套开源的集内容发布、编辑、管理检索等于一体的PHP网站内容管理系统（CMS）。 Desdev DedeCMS 5.7及之前的版本中存在SQL注入漏洞。远程攻击者可利用该漏洞执行SQL命令。

Severity

高

Formal description

厂商已发布漏洞修复程序，请及时关注更新： http://www.dedecms.com/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2017-17731

Impacted products

Name
DesDev Inc. DEDECMS <=5.7

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2017-17731"
    }
  },
  "description": "Desdev DedeCMS\uff08\u7ec7\u68a6\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff09\u662f\u4e2d\u56fd\u5353\u5353\u7f51\u7edc\uff08Desdev\uff09\u79d1\u6280\u6709\u9650\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u96c6\u5185\u5bb9\u53d1\u5e03\u3001\u7f16\u8f91\u3001\u7ba1\u7406\u68c0\u7d22\u7b49\u4e8e\u4e00\u4f53\u7684PHP\u7f51\u7ad9\u5185\u5bb9\u7ba1\u7406\u7cfb\u7edf\uff08CMS\uff09\u3002\r\n\r\nDesdev DedeCMS 5.7\u53ca\u4e4b\u524d\u7684\u7248\u672c\u4e2d\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u8fdc\u7a0b\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884cSQL\u547d\u4ee4\u3002",
  "discovererName": "unknow",
  "formalWay": "\u5382\u5546\u5df2\u53d1\u5e03\u6f0f\u6d1e\u4fee\u590d\u7a0b\u5e8f\uff0c\u8bf7\u53ca\u65f6\u5173\u6ce8\u66f4\u65b0\uff1a\r\nhttp://www.dedecms.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2018-01088",
  "openTime": "2018-01-17",
  "products": {
    "product": "DesDev Inc. DEDECMS \u003c=5.7"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2017-17731",
  "serverity": "\u9ad8",
  "submitTime": "2017-12-18",
  "title": "Desdev DedeCMS SQL\u6ce8\u5165\u6f0f\u6d1e\uff08CNVD-2018-01088\uff09"
}

CVE-2017-17731 (GCVE-0-2017-17731)

Vulnerability from cvelistv5 – Published: 2017-12-18 05:00 – Updated: 2024-09-16 18:55

Summary

DedeCMS through 5.7 has SQL Injection via the $_FILES superglobal to plus/recommend.php.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
http://0day5.com/archives/1346/	x_refsource_MISC

Show details on NVD website

JSON

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              "x_transferred"
            ],
            "url": "http://0day5.com/archives/1346/"
          }
        ],
        "title": "CVE Program Container"
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    ],
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      "providerMetadata": {
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      },
      "references": [
        {
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          ],
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          "ID": "CVE-2017-17731",
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                      "version": {
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    "dateReserved": "2017-12-17T00:00:00.000Z",
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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.