CVE-2025-11317
- EPSS 0.45%
- Veröffentlicht 06.10.2025 03:15:32
- Zuletzt bearbeitet 29.04.2026 01:00:01
- Quelle cna@vuldb.com
- CVE-Watchlists
- Unerledigt
LoginTipray 厦门天锐科技股份有限公司 Data Leakage Prevention System 天锐数据泄露防护系统 findSingConfigPage.do findRolePage sql injection
A vulnerability was identified in Tipray 厦门天锐科技股份有限公司 Data Leakage Prevention System 天锐数据泄露防护系统 1.0. This affects the function findRolePage of the file findSingConfigPage.do. The manipulation of the argument sort leads to sql injection. The attack is possible to be carried out remotely. The exploit is publicly available and might be used. The vendor was contacted early about this disclosure but did not respond in any way.
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.45% | 0.358 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| nvd@nist.gov | 9.8 | 3.9 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H
|
| cna@vuldb.com | 5.5 | 0 | 0 |
CVSS:4.0/AV:N/AC:L/AT:N/PR:N/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:P/CR:X/IR:X/AR:X/MAV:X/MAC:X/MAT:X/MPR:X/MUI:X/MVC:X/MVI:X/MVA:X/MSC:X/MSI:X/MSA:X/S:X/AU:X/R:X/V:X/RE:X/U:X
|
| cna@vuldb.com | 7.3 | 3.9 | 3.4 |
CVSS:3.1/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:L
|
| cna@vuldb.com | 7.5 | 10 | 6.4 |
AV:N/AC:L/Au:N/C:P/I:P/A:P
|
The product constructs all or part of a command, data structure, or record using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify how it is parsed or interpreted when it is sent to a downstream component.
The product constructs all or part of an SQL command using externally-influenced input from an upstream component, but it does not neutralize or incorrectly neutralizes special elements that could modify the intended SQL command when it is sent to a downstream component. Without sufficient removal or quoting of SQL syntax in user-controllable inputs, the generated SQL query can cause those inputs to be interpreted as SQL instead of ordinary user data.