CVE-2025-11309
- EPSS 0.45%
- Veröffentlicht 05.10.2025 23:02:06
- Zuletzt bearbeitet 29.04.2026 01:00:01
- Quelle cna@vuldb.com
- CVE-Watchlists
- Unerledigt
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 findDeptPage.do doFilter sql injection
A security flaw has been discovered 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. Impacted is the function doFilter of the file findDeptPage.do. Performing manipulation of the argument sort results in sql injection. It is possible to initiate the attack remotely. The exploit has been released to the public and may be exploited. The vendor was contacted early about this disclosure but did not respond in any way.
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.45% | 0.354 |
| 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.