Vulnerability-Lookup

CNVD-2025-30513

Vulnerability from cnvd - Published: 2025-12-11

Title

Hospital Management System In PHP代码执行漏洞

Description

Hospital Management System In PHP一套基于PHP和MySQL的医院管理系统。 Hospital Management System In PHP存在代码执行漏洞，该漏洞源于hms/doctor/edit-profile.php文件可能导致执行任意代码。目前没有详细的漏洞细节提供。

Severity

高

Formal description

目前厂商尚未发布升级程序修复该安全问题，详情见厂商官网： https://phpgurukul.com/

Reference

https://nvd.nist.gov/vuln/detail/CVE-2024-51360

Impacted products

Name
Hospital Management System In PHP Hospital Management System In PHP 4.0

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JSON

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  "cves": {
    "cve": {
      "cveNumber": "CVE-2024-51360",
      "cveUrl": "https://nvd.nist.gov/vuln/detail/CVE-2024-51360"
    }
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  "formalWay": "\u76ee\u524d\u5382\u5546\u5c1a\u672a\u53d1\u5e03\u5347\u7ea7\u7a0b\u5e8f\u4fee\u590d\u8be5\u5b89\u5168\u95ee\u9898\uff0c\u8be6\u60c5\u89c1\u5382\u5546\u5b98\u7f51\uff1a\r\nhttps://phpgurukul.com/",
  "isEvent": "\u901a\u7528\u8f6f\u786c\u4ef6\u6f0f\u6d1e",
  "number": "CNVD-2025-30513",
  "openTime": "2025-12-11",
  "products": {
    "product": "Hospital Management System In PHP Hospital Management System In PHP 4.0"
  },
  "referenceLink": "https://nvd.nist.gov/vuln/detail/CVE-2024-51360",
  "serverity": "\u9ad8",
  "submitTime": "2025-06-04",
  "title": "Hospital Management System In PHP\u4ee3\u7801\u6267\u884c\u6f0f\u6d1e"
}

CVE-2024-51360 (GCVE-0-2024-51360)

Vulnerability from cvelistv5 – Published: 2025-05-23 00:00 – Updated: 2025-05-29 15:16

Summary

An issue in Hospital Management System In PHP V4.0 allows a remote attacker to execute arbitrary code via the hms/doctor/edit-profile.php file

Severity

9.8 (Critical)


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

SSVC

Exploitation: poc Automatable: yes Technical Impact: total

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-05-29 15:06 UTC

CWE

n/a
CWE-94 - Improper Control of Generation of Code ('Code Injection')

Assigner

mitre mitre root

References

1 reference

URL	Tags
https://github.com/Anil0x/CVE/blob/main/Session%2…

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              "attackComplexity": "LOW",
              "attackVector": "NETWORK",
              "availabilityImpact": "HIGH",
              "baseScore": 9.8,
              "baseSeverity": "CRITICAL",
              "confidentialityImpact": "HIGH",
              "integrityImpact": "HIGH",
              "privilegesRequired": "NONE",
              "scope": "UNCHANGED",
              "userInteraction": "NONE",
              "vectorString": "CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H",
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                "timestamp": "2025-05-29T15:06:23.305411Z",
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            "descriptions": [
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                "lang": "en",
                "type": "CWE"
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        ],
        "providerMetadata": {
          "dateUpdated": "2025-05-29T15:16:21.750Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
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    ],
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          "vendor": "n/a",
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    "assignerShortName": "mitre",
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    "datePublished": "2025-05-23T00:00:00.000Z",
    "dateReserved": "2024-10-28T00:00:00.000Z",
    "dateUpdated": "2025-05-29T15:16:21.750Z",
    "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.