Vulnerability-Lookup

CNVD-2025-12129

Vulnerability from cnvd - Published: 2025-06-11

Title

Pimcore Customer Data FrameworkSQL注入漏洞

Description

Pimcore是奥地利Pimcore公司的一套开源的用于创建和管理Web应用程序的Web内容管理平台。该平台集成了Web内容管理、电子商务框架和产品信息管理等应用。 Pimcore Customer Data Framework存在SQL注入漏洞，该漏洞源于文件/admin/customermanagementframework/customers/list的参数filterDefinition/filter缺少对外部输入SQL语句的验证。攻击者可利用该漏洞执行非法SQL命令窃取数据库敏感数据。

Severity

中

Patch Name

Pimcore Customer Data FrameworkSQL注入漏洞的补丁

Patch Description

Formal description

目前厂商已发布升级程序修复该安全问题，详情见厂商官网： https://github.com/pimcore/customer-data-framework/releases/tag/v4.2.1

Reference

https://github.com/pimcore/customer-data-framework/releases/tag/v4.2.1

Impacted products

Name
Pimcore Pimcore Customer Data Framework <=4.2.0

Show details on source website

JSON

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{
  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-11956",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-11956"
    }
  },
  "description": "Pimcore\u662f\u5965\u5730\u5229Pimcore\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u7528\u4e8e\u521b\u5efa\u548c\u7ba1\u7406Web\u5e94\u7528\u7a0b\u5e8f\u7684Web\u5185\u5bb9\u7ba1\u7406\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u96c6\u6210\u4e86Web\u5185\u5bb9\u7ba1\u7406\u3001\u7535\u5b50\u5546\u52a1\u6846\u67b6\u548c\u4ea7\u54c1\u4fe1\u606f\u7ba1\u7406\u7b49\u5e94\u7528\u3002\n\nPimcore Customer Data Framework\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u6587\u4ef6/admin/customermanagementframework/customers/list\u7684\u53c2\u6570filterDefinition/filter\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u975e\u6cd5SQL\u547d\u4ee4\u7a83\u53d6\u6570\u636e\u5e93\u654f\u611f\u6570\u636e\u3002",
  "formalWay": "\u76ee\u524d\u5382\u5546\u5df2\u53d1\u5e03\u5347\u7ea7\u7a0b\u5e8f\u4fee\u590d\u8be5\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u89c1\u5382\u5546\u5b98\u7f51\uff1a\r\nhttps://github.com/pimcore/customer-data-framework/releases/tag/v4.2.1",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-12129",
  "openTime": "2025-06-11",
  "patchDescription": "Pimcore\u662f\u5965\u5730\u5229Pimcore\u516c\u53f8\u7684\u4e00\u5957\u5f00\u6e90\u7684\u7528\u4e8e\u521b\u5efa\u548c\u7ba1\u7406Web\u5e94\u7528\u7a0b\u5e8f\u7684Web\u5185\u5bb9\u7ba1\u7406\u5e73\u53f0\u3002\u8be5\u5e73\u53f0\u96c6\u6210\u4e86Web\u5185\u5bb9\u7ba1\u7406\u3001\u7535\u5b50\u5546\u52a1\u6846\u67b6\u548c\u4ea7\u54c1\u4fe1\u606f\u7ba1\u7406\u7b49\u5e94\u7528\u3002\r\n\r\nPimcore Customer Data Framework\u5b58\u5728SQL\u6ce8\u5165\u6f0f\u6d1e\uff0c\u8be5\u6f0f\u6d1e\u6e90\u4e8e\u6587\u4ef6/admin/customermanagementframework/customers/list\u7684\u53c2\u6570filterDefinition/filter\u7f3a\u5c11\u5bf9\u5916\u90e8\u8f93\u5165SQL\u8bed\u53e5\u7684\u9a8c\u8bc1\u3002\u653b\u51fb\u8005\u53ef\u5229\u7528\u8be5\u6f0f\u6d1e\u6267\u884c\u975e\u6cd5SQL\u547d\u4ee4\u7a83\u53d6\u6570\u636e\u5e93\u654f\u611f\u6570\u636e\u3002\u76ee\u524d\uff0c\u4f9b\u5e94\u5546\u53d1\u5e03\u4e86\u5b89\u5168\u516c\u544a\u53ca\u76f8\u5173\u8865\u4e01\u4fe1\u606f\uff0c\u4fee\u590d\u4e86\u6b64\u6f0f\u6d1e\u3002",
  "patchName": "Pimcore Customer Data FrameworkSQL\u6ce8\u5165\u6f0f\u6d1e\u7684\u8865\u4e01",
  "products": {
    "product": "Pimcore Pimcore Customer Data Framework \u003c=4.2.0"
  },
  "referenceLink": "https://github.com/pimcore/customer-data-framework/releases/tag/v4.2.1",
  "serverity": "\u4e2d",
  "submitTime": "2025-02-17",
  "title": "Pimcore Customer Data FrameworkSQL\u6ce8\u5165\u6f0f\u6d1e"
}

CVE-2024-11956 (GCVE-0-2024-11956)

Vulnerability from cvelistv5 – Published: 2025-01-28 13:46 – Updated: 2025-01-28 14:14

Title

Pimcore customer-data-framework list sql injection

Summary

A vulnerability, which was classified as critical, has been found in Pimcore customer-data-framework up to 4.2.0. Affected by this issue is some unknown functionality of the file /admin/customermanagementframework/customers/list. The manipulation of the argument filterDefinition/filter leads to sql injection. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 4.2.1 is able to address this issue. It is recommended to upgrade the affected component.

Severity

5.1 (Medium)


                        
                          CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N

4.7 (Medium)


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

4.7 (Medium)


                        
                          CVSS:3.0/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:L

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-01-28 14:13 UTC

CWE

CWE-89 - SQL Injection
CWE-74 - Injection

Assigner

VulDB mitre root

References

5 references

URL	Tags
https://vuldb.com/?id.293906	vdb-entrytechnical-description
https://vuldb.com/?ctiid.293906	signaturepermissions-required
https://vuldb.com/?submit.451863	third-party-advisory
https://github.com/pimcore/pimcore/security/advis…	exploit
https://github.com/pimcore/customer-data-framewor…	patch

Impacted products

1 product

Vendor	Product	Version
Pimcore	customer-data-framework	Affected: 4.0 Affected: 4.1 Affected: 4.2

Show details on NVD website

JSON

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  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-11956",
                "options": [
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                  },
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                    "Technical Impact": "partial"
                  }
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                "role": "CISA Coordinator",
                "timestamp": "2025-01-28T14:13:58.096948Z",
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            "url": "https://github.com/pimcore/pimcore/security/advisories/GHSA-q53r-9hh9-w277"
          }
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          "versions": [
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              "version": "4.1"
            },
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              "version": "4.2"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "A vulnerability, which was classified as critical, has been found in Pimcore customer-data-framework up to 4.2.0. Affected by this issue is some unknown functionality of the file /admin/customermanagementframework/customers/list. The manipulation of the argument filterDefinition/filter leads to sql injection. The attack may be launched remotely. The exploit has been disclosed to the public and may be used. Upgrading to version 4.2.1 is able to address this issue. It is recommended to upgrade the affected component."
        },
        {
          "lang": "de",
          "value": "Eine kritische Schwachstelle wurde in Pimcore customer-data-framework bis 4.2.0 entdeckt. Es geht hierbei um eine nicht n\u00e4her spezifizierte Funktion der Datei /admin/customermanagementframework/customers/list. Durch Manipulieren des Arguments filterDefinition/filter mit unbekannten Daten kann eine sql injection-Schwachstelle ausgenutzt werden. Der Angriff kann \u00fcber das Netzwerk angegangen werden. Der Exploit steht zur \u00f6ffentlichen Verf\u00fcgung. Ein Aktualisieren auf die Version 4.2.1 vermag dieses Problem zu l\u00f6sen. Als bestm\u00f6gliche Massnahme wird das Einspielen eines Upgrades empfohlen."
        }
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      "metrics": [
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      "references": [
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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.