Default status is the baseline for the product, each version can override it (e.g. patched versions marked unaffected).
| Vendor | Product | Default status | Versions | ||||||
|---|---|---|---|---|---|---|---|---|---|
| n/a | n/a | affected |
|
No data.
| Vendor | Product | Versions |
|---|---|---|
| Diskover | Diskover | — |
| Source | ID | Title |
|---|---|---|
EUVD |
EUVD-2025-25907 | 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. |
No CVSS v4.0
No CVSS v3.0
No CVSS v2
This CVE is not in the KEV list.
Exploit prediction score: < 1% (0.328% probability within 30 days)
| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Diskoverdata
Diskoverdata diskover |
|
| CPEs | cpe:2.3:a:diskoverdata:diskover:2.3.0:*:*:*:community:*:*:* | |
| Vendors & Products |
Diskoverdata
Diskoverdata diskover |
| Type | Values Removed | Values Added |
|---|---|---|
| First Time appeared |
Diskover
Diskover diskover |
|
| Vendors & Products |
Diskover
Diskover diskover |
| Type | Values Removed | Values Added |
|---|---|---|
| Metrics |
cvssV3_1
|
cvssV3_1
|
| Type | Values Removed | Values Added |
|---|---|---|
| Weaknesses | CWE-89 | |
| Metrics |
cvssV3_1
|
| Type | Values Removed | Values Added |
|---|---|---|
| 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 |
|