CVE-2024-10947
- EPSS 0.13%
- Veröffentlicht 07.11.2024 04:15:03
- Zuletzt bearbeitet 11.12.2024 19:58:55
- Quelle cna@vuldb.com
- CVE-Watchlists
- Unerledigt
A vulnerability classified as critical was found in Guangzhou Tuchuang Computer Software Development Interlib Library Cluster Automation Management System up to 2.0.1. This vulnerability affects unknown code of the file /interlib/order/BatchOrder?cmdACT=admin_order&xsl=adminOrder_OrderList.xsl. The manipulation of the argument bookrecno leads to sql injection. The attack can be initiated remotely. The exploit has been disclosed to the public and may be used. The vendor was contacted early about this disclosure but did not respond in any way.
| Typ | Quelle | Score | Percentile |
|---|---|---|---|
| EPSS | FIRST.org | 0.13% | 0.325 |
| Quelle | Base Score | Exploit Score | Impact Score | Vector String |
|---|---|---|---|---|
| nvd@nist.gov | 7.2 | 1.2 | 5.9 |
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:H/I:H/A:H
|
| cna@vuldb.com | 5.1 | 0 | 0 |
CVSS:4.0/AV:N/AC:L/AT:N/PR:H/UI:N/VC:L/VI:L/VA:L/SC:N/SI:N/SA:N/E:X/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 | 4.7 | 1.2 | 3.4 |
CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:L/I:L/A:L
|
| cna@vuldb.com | 5.8 | 6.4 | 6.4 |
AV:N/AC:L/Au:M/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.