CVE-2025-50984
MEDIUMCVSS Vector
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N
Lifecycle Timeline
3Description
diskover-web v2.3.0 Community Edition is vulnerable to multiple boolean-based blind SQL injection flaws in its Elasticsearch configuration form. Unsanitized user input in POST parameters such as ES_PASS, ES_MAXSIZE, ES_TRANSLOGSIZE, ES_TIMEOUT, ES_USER, ES_HOST, ES_PORT, ES_SCROLLSIZE, ES_CHUNKSIZE and others can be crafted to inject arbitrary SQLite expressions wrapped in JSON functions. By exploiting these injection points, an attacker can infer or extract sensitive information from the underlying database without authentication. This issue stems from improper input validation and parameterization in the application's JSON-based query construction.
Analysis
diskover-web v2.3.0 Community Edition is vulnerable to multiple boolean-based blind SQL injection flaws in its Elasticsearch configuration form. Rated medium severity (CVSS 5.3), this vulnerability is remotely exploitable, no authentication required, low attack complexity. Public exploit code available and no vendor patch available.
Technical Context
This vulnerability is classified as SQL Injection (CWE-89), which allows attackers to execute arbitrary SQL commands against the database. diskover-web v2.3.0 Community Edition is vulnerable to multiple boolean-based blind SQL injection flaws in its Elasticsearch configuration form. Unsanitized user input in POST parameters such as ES_PASS, ES_MAXSIZE, ES_TRANSLOGSIZE, ES_TIMEOUT, ES_USER, ES_HOST, ES_PORT, ES_SCROLLSIZE, ES_CHUNKSIZE and others can be crafted to inject arbitrary SQLite expressions wrapped in JSON functions. By exploiting these injection points, an attacker can infer or extract sensitive information from the underlying database without authentication. This issue stems from improper input validation and parameterization in the application's JSON-based query construction. Affected products include: Diskoverdata Diskover.
Affected Products
Diskoverdata Diskover.
Remediation
No vendor patch is available at time of analysis. Monitor vendor advisories for updates. Use parameterized queries/prepared statements. Never concatenate user input into SQL. Apply least-privilege database permissions.
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External POC / Exploit Code
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