Vulnerability-Lookup

CNVD-2025-02106

Vulnerability from cnvd - Published: 2025-02-06

Title

dingfanzu SQL注入漏洞（CNVD-2025-02106）

Description

dingfanzu是一个基于php的外卖订餐网站。 dingfanzu v1.0版本存在SQL注入漏洞，该漏洞源于应用缺少对外部输入SQL语句的验证。本地攻击者可利用该漏洞通过shopId模块中的内容执行任意代码。

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： https://nvd.nist.gov/vuln/detail/CVE-2025-22976

Reference

https://github.com/xiaosguang/cve/blob/main/dingfanzu/dingfanzu-CMS%20checkOrder.php%20shopId%20SQL-inject.md

Impacted products

Name
dingfanzu dingfanzu v1.0

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2025-22976",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2025-22976"
    }
  },
  "description": "dingfanzu\u662f\u4e00\u4e2a\u57fa\u4e8ephp\u7684\u5916\u5356\u8ba2\u9910\u7f51\u7ad9\u3002\n\ndingfanzu v1.0\u7248\u672c\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u5e94\u7528\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\u3002\u672c\u5730\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u901a\u8fc7shopId\u6a21\u5757\u4e2d\u7684\u5185\u5bb9\u6267\u884c\u4efb\u610f\u4ee3\u7801\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://nvd.nist.gov/vuln/detail/CVE-2025-22976",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-02106",
  "openTime": "2025-02-06",
  "products": {
    "product": "dingfanzu dingfanzu v1.0"
  },
  "referenceLink": "https://github.com/xiaosguang/cve/blob/main/dingfanzu/dingfanzu-CMS%20checkOrder.php%20shopId%20SQL-inject.md",
  "serverity": "\u9ad8",
  "submitTime": "2025-01-17",
  "title": "dingfanzu SQL\u6ce8\u5165\u6f0f\u6d1e\uff08CNVD-2025-02106\uff09"
}

CVE-2025-22976 (GCVE-0-2025-22976)

Vulnerability from cvelistv5 – Published: 2025-01-15 00:00 – Updated: 2025-02-03 18:29

Summary

SQL Injection vulnerability in dingfanzuCMS v.1.0 allows a local attacker to execute arbitrary code via not filtering the content correctly at the "checkOrder.php" shopId module.

Severity

7.1 (High)


                        
                          CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N

SSVC

Exploitation: poc Automatable: no Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-02-03 18:29 UTC

CWE

n/a
CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/xiaosguang/cve/blob/main/dingf…

Show details on NVD website

JSON

To clipboard

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              "attackComplexity": "LOW",
              "attackVector": "LOCAL",
              "availabilityImpact": "NONE",
              "baseScore": 7.1,
              "baseSeverity": "HIGH",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "HIGH",
              "privilegesRequired": "LOW",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:L/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:N",
              "version": "3.1"
            }
          },
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              "content": {
                "id": "CVE-2025-22976",
                "options": [
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                    "Exploitation": "poc"
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                  },
                  {
                    "Technical Impact": "total"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-02-03T18:29:25.490284Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
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        ],
        "problemTypes": [
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            "descriptions": [
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                "cweId": "CWE-89",
                "description": "CWE-89 Improper Neutralization of Special Elements used in an SQL Command (\u0027SQL Injection\u0027)",
                "lang": "en",
                "type": "CWE"
              }
            ]
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-02-03T18:29:32.847Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "n/a",
          "vendor": "n/a",
          "versions": [
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              "status": "affected",
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    "datePublished": "2025-01-15T00:00:00.000Z",
    "dateReserved": "2025-01-09T00:00:00.000Z",
    "dateUpdated": "2025-02-03T18:29:32.847Z",
    "state": "PUBLISHED"
  },
  "dataType": "CVE_RECORD",
  "dataVersion": "5.1"
}

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.