Skip to main content
VulnerabilityPublished

CVE-2025-50984: diskover-web · SQL Injection

Source CVE Database V5

0

Not known to be exploited · CVSS 5.3 Medium.

Data as of 26 Oct 2026, 10:12 UTC

CVSS 3.1 base score
5.3Medium
How severe the flaw is on the 0–10 CVSS scale.
EPSS
0.3% chance of exploitation in 30 days – higher than 25% of CVEsExploit Prediction Scoring System: the likelihood attackers will use this flaw soon.
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N

Exploitation evidence

  1. Disclosed: evidence found.

    CVE published 27 Aug 2025

  2. Detectable: no evidence on record.

    No public nuclei template indexed

  3. Weaponised: no evidence on record.

    No public exploit code indexed in Metasploit or Exploit-DB

  4. Exploited in the wild: no evidence on record.

    Not in CISA KEV and no source reports exploitation

  5. Observed by OffSeq Mirage: no evidence on record.

    No attack traffic recorded by OffSeq Mirage sensors

A missing step is not evidence of safety. Sources: cve.org (opens in a new tab), the Metasploit, Exploit-DB and nuclei-templates index as of 26 Oct 2026.

What to do

AI-suggested

To mitigate this vulnerability, organizations should immediately upgrade diskover-web to a patched version once available from the vendor or community maintainers. In the absence of an official patch, organizations should implement strict input validation and sanitization on all Elasticsearch configuration form parameters, particularly those accepting user input in POST requests. Employing parameterized queries or prepared statements when constructing JSON-based Elasticsearch queries is essential to prevent injection. Network-level controls such as restricting access to the diskover-web interface to trusted internal IPs or VPNs can reduce exposure. Additionally, monitoring and logging of unusual query patterns or repeated failed attempts targeting the vulnerable parameters can aid in early detection of exploitation attempts. Organizations should also review and harden Elasticsearch and underlying database permissions to minimize the impact of any potential compromise. Finally, conducting a thorough security audit of all applications interfacing with Elasticsearch to identify similar injection risks is recommended.

Description

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.

References

Community reviews

Loading reviews…