CVE-2025-71428 (GCVE-0-2025-71428)

Vulnerability from cvelistv5 – Published: 2026-10-08 21:51 – Updated: 2026-10-08 21:51
VLAI
Title
Jivejdon through 5.0 SQL Injection via username in userListAction
Summary
Jivejdon through 5.0 contains a sql injection vulnerability in AccountDaoSql.getAccountByNameLike() that allows authenticated administrators to inject SQL via the username parameter. Attackers with the Admin role can submit crafted input to /admin/user/userListAction to read database contents, including other accounts' password hashes.
CWE
  • CWE-89 - Improper Neutralization of Special Elements used in an SQL Command ('SQL Injection')
Assigner
VulnCheck CNA under the mitre root
CNA scorecard B 84/100 over 5285 records in the last 180 days details
Impacted products
Vendor Product Version CPE status
banq jivejdon Affected: 0 , ≤ 5.0 (custom)
guessed Create a notification for this product.
Date Public
2025-07-22 00:00
Show details on NVD website

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        }
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          "name": "GitHub Issue #28",
          "tags": [
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          "url": "https://github.com/banq/jivejdon/issues/28"
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        },
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          "url": "https://www.vulncheck.com/advisories/jivejdon-through-5.0-sql-injection-via-username-in-userlistaction"
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      "title": "Jivejdon through 5.0 SQL Injection via username in userListAction",
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    "cveId": "CVE-2025-71428",
    "datePublished": "2026-10-08T21:51:27.411Z",
    "dateReserved": "2026-10-08T20:54:10.092Z",
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    "state": "PUBLISHED"
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  "dataVersion": "5.2",
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          }
        ],
        "id": "CVE-2025-71428",
        "lastModified": "2026-10-08T22:17:26.033",
        "metrics": {
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                "exploitMaturity": "NOT_DEFINED",
                "integrityRequirement": "NOT_DEFINED",
                "modifiedAttackComplexity": "NOT_DEFINED",
                "modifiedAttackRequirements": "NOT_DEFINED",
                "modifiedAttackVector": "NOT_DEFINED",
                "modifiedPrivilegesRequired": "NOT_DEFINED",
                "modifiedSubAvailabilityImpact": "NOT_DEFINED",
                "modifiedSubConfidentialityImpact": "NOT_DEFINED",
                "modifiedSubIntegrityImpact": "NOT_DEFINED",
                "modifiedUserInteraction": "NOT_DEFINED",
                "modifiedVulnAvailabilityImpact": "NOT_DEFINED",
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                "providerUrgency": "NOT_DEFINED",
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                "valueDensity": "NOT_DEFINED",
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}



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Forecast uses a logistic model when the trend is rising, or an exponential decay model when the trend is falling. Fitted via linearized least squares.

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  • Seen: The vulnerability was mentioned, discussed, or observed by the user.
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