Vulnerability-Lookup

GHSA-PRX2-6CC4-7QQ5

Vulnerability from github – Published: 2025-03-20 12:32 – Updated: 2025-03-20 12:32

Details

A stored cross-site scripting (XSS) vulnerability was discovered in phpipam/phpipam version 1.5.2. This vulnerability allows an attacker to inject malicious scripts into the destination address field of the NAT tool, which can be executed when a user interacts with the field. The impact of this vulnerability includes the potential theft of user cookies, unauthorized access to user accounts, and redirection to malicious websites. The issue has been fixed in version 1.7.0.

Severity

3.5 (Low)


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

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{
  "affected": [],
  "aliases": [
    "CVE-2024-10723"
  ],
  "database_specific": {
    "cwe_ids": [
      "CWE-79"
    ],
    "github_reviewed": false,
    "github_reviewed_at": null,
    "nvd_published_at": "2025-03-20T10:15:19Z",
    "severity": "LOW"
  },
  "details": "A stored cross-site scripting (XSS) vulnerability was discovered in phpipam/phpipam version 1.5.2. This vulnerability allows an attacker to inject malicious scripts into the destination address field of the NAT tool, which can be executed when a user interacts with the field. The impact of this vulnerability includes the potential theft of user cookies, unauthorized access to user accounts, and redirection to malicious websites. The issue has been fixed in version 1.7.0.",
  "id": "GHSA-prx2-6cc4-7qq5",
  "modified": "2025-03-20T12:32:40Z",
  "published": "2025-03-20T12:32:40Z",
  "references": [
    {
      "type": "ADVISORY",
      "url": "https://nvd.nist.gov/vuln/detail/CVE-2024-10723"
    },
    {
      "type": "WEB",
      "url": "https://github.com/phpipam/phpipam/commit/c1697bb6c4e4a6403d69c0868e1eb1040f98b731"
    },
    {
      "type": "WEB",
      "url": "https://huntr.com/bounties/9af99057-e4f6-4d07-b3bb-3213b977801d"
    }
  ],
  "schema_version": "1.4.0",
  "severity": [
    {
      "score": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:N/A:N",
      "type": "CVSS_V3"
    }
  ]
}

CVE-2024-10723 (GCVE-0-2024-10723)

Vulnerability from cvelistv5 – Published: 2025-03-20 10:09 – Updated: 2025-03-20 18:55

Title

Stored XSS in phpipam/phpipam

Summary

Severity

3.5 (Low)


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

SSVC

Exploitation: poc Automatable: no Technical Impact: partial

CISA Coordinator · CISA-ADP (v2.0.3)

Decision recorded 2025-03-20 17:51 UTC

CWE

CWE-79 - Improper Neutralization of Input During Web Page Generation ('Cross-site Scripting')

Assigner

@huntr_ai mitre root

References

2 references

URL	Tags
https://huntr.com/bounties/9af99057-e4f6-4d07-b3b…
https://github.com/phpipam/phpipam/commit/c1697bb…

Impacted products

1 product

Vendor	Product	Version
phpipam	phpipam/phpipam	Affected: unspecified , < 1.7.0 (custom)

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JSON

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{
  "containers": {
    "adp": [
      {
        "metrics": [
          {
            "other": {
              "content": {
                "id": "CVE-2024-10723",
                "options": [
                  {
                    "Exploitation": "poc"
                  },
                  {
                    "Automatable": "no"
                  },
                  {
                    "Technical Impact": "partial"
                  }
                ],
                "role": "CISA Coordinator",
                "timestamp": "2025-03-20T17:51:05.672642Z",
                "version": "2.0.3"
              },
              "type": "ssvc"
            }
          }
        ],
        "providerMetadata": {
          "dateUpdated": "2025-03-20T18:55:33.336Z",
          "orgId": "134c704f-9b21-4f2e-91b3-4a467353bcc0",
          "shortName": "CISA-ADP"
        },
        "title": "CISA ADP Vulnrichment"
      }
    ],
    "cna": {
      "affected": [
        {
          "product": "phpipam/phpipam",
          "vendor": "phpipam",
          "versions": [
            {
              "lessThan": "1.7.0",
              "status": "affected",
              "version": "unspecified",
              "versionType": "custom"
            }
          ]
        }
      ],
      "descriptions": [
        {
          "lang": "en",
          "value": "A stored cross-site scripting (XSS) vulnerability was discovered in phpipam/phpipam version 1.5.2. This vulnerability allows an attacker to inject malicious scripts into the destination address field of the NAT tool, which can be executed when a user interacts with the field. The impact of this vulnerability includes the potential theft of user cookies, unauthorized access to user accounts, and redirection to malicious websites. The issue has been fixed in version 1.7.0."
        }
      ],
      "metrics": [
        {
          "cvssV3_0": {
            "attackComplexity": "LOW",
            "attackVector": "NETWORK",
            "availabilityImpact": "NONE",
            "baseScore": 3.5,
            "baseSeverity": "LOW",
            "confidentialityImpact": "LOW",
            "integrityImpact": "NONE",
            "privilegesRequired": "LOW",
            "scope": "UNCHANGED",
            "userInteraction": "REQUIRED",
            "vectorString": "CVSS:3.0/AV:N/AC:L/PR:L/UI:R/S:U/C:L/I:N/A:N",
            "version": "3.0"
          }
        }
      ],
      "problemTypes": [
        {
          "descriptions": [
            {
              "cweId": "CWE-79",
              "description": "CWE-79 Improper Neutralization of Input During Web Page Generation (\u0027Cross-site Scripting\u0027)",
              "lang": "en",
              "type": "CWE"
            }
          ]
        }
      ],
      "providerMetadata": {
        "dateUpdated": "2025-03-20T10:09:23.803Z",
        "orgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
        "shortName": "@huntr_ai"
      },
      "references": [
        {
          "url": "https://huntr.com/bounties/9af99057-e4f6-4d07-b3bb-3213b977801d"
        },
        {
          "url": "https://github.com/phpipam/phpipam/commit/c1697bb6c4e4a6403d69c0868e1eb1040f98b731"
        }
      ],
      "source": {
        "advisory": "9af99057-e4f6-4d07-b3bb-3213b977801d",
        "discovery": "EXTERNAL"
      },
      "title": "Stored XSS in phpipam/phpipam"
    }
  },
  "cveMetadata": {
    "assignerOrgId": "c09c270a-b464-47c1-9133-acb35b22c19a",
    "assignerShortName": "@huntr_ai",
    "cveId": "CVE-2024-10723",
    "datePublished": "2025-03-20T10:09:23.803Z",
    "dateReserved": "2024-11-01T23:23:05.376Z",
    "dateUpdated": "2025-03-20T18:55:33.336Z",
    "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.