Vulnerability-Lookup

CNVD-2021-43389

Vulnerability from cnvd - Published: 2021-06-19

Title

74CMS SQL注入漏洞（CNVD-2021-43389）

Description

74CMS是一款基于ThinkPHP框架二次开发的人才招聘系统。 74CMS 3.2.0版本存在SQL注入漏洞。攻击者利用该漏洞可通过plus/ajax_street.php的x参数注入SQL语句。

Severity

高

Formal description

厂商尚未提供漏洞修复方案，请关注厂商主页更新： http://www.74cms.com/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2020-22208

Impacted products

Name
74CMS 74CMS 3.2.0

Show details on source website

JSON

To clipboard

{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2020-22208",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2020-22208"
    }
  },
  "description": "74CMS\u662f\u4e00\u6b3e\u57fa\u4e8eThinkPHP\u6846\u67b6\u4e8c\u6b21\u5f00\u53d1\u7684\u4eba\u624d\u62db\u8058\u7cfb\u7edf\u3002\n\n74CMS 3.2.0\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\u3002\u653b\u51fb\u8005\u5229\u7528\u8be5\u6f0f\u6d1e\u53ef\u901a\u8fc7plus/ajax_street.php\u7684x\u53c2\u6570\u6ce8\u5165SQL\u8bed\u53e5\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\nhttp://www.74cms.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2021-43389",
  "openTime": "2021-06-19",
  "products": {
    "product": "74CMS 74CMS 3.2.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2020-22208",
  "serverity": "\u9ad8",
  "submitTime": "2021-06-17",
  "title": "74CMS SQL\u6ce8\u5165\u6f0f\u6d1e\uff08CNVD-2021-43389\uff09"
}

CVE-2020-22208 (GCVE-0-2020-22208)

Vulnerability from cvelistv5 – Published: 2021-06-16 17:42 – Updated: 2024-08-04 14:51

Summary

SQL Injection in 74cms 3.2.0 via the x parameter to plus/ajax_street.php.

Severity

No CVSS data available.

CWE

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/blindkey/cve_like/issues/10	x_refsource_MISC

Show details on NVD website

JSON

To clipboard

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          "dateUpdated": "2024-08-04T14:51:10.376Z",
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              "x_refsource_MISC",
              "x_transferred"
            ],
            "url": "https://github.com/blindkey/cve_like/issues/10"
          }
        ],
        "title": "CVE Program Container"
      }
    ],
    "cna": {
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          "vendor": "n/a",
          "versions": [
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      ],
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        }
      ],
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            }
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      "providerMetadata": {
        "dateUpdated": "2021-06-16T17:42:16.000Z",
        "orgId": "8254265b-2729-46b6-b9e3-3dfca2d5bfca",
        "shortName": "mitre"
      },
      "references": [
        {
          "tags": [
            "x_refsource_MISC"
          ],
          "url": "https://github.com/blindkey/cve_like/issues/10"
        }
      ],
      "x_legacyV4Record": {
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          "ASSIGNER": "cve@mitre.org",
          "ID": "CVE-2020-22208",
          "STATE": "PUBLIC"
        },
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            "vendor_data": [
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  "cveMetadata": {
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    "dateReserved": "2020-08-13T00:00:00.000Z",
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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.