Huachu Digital Technology Easytest Online Test Platform up to er.24E01 Mock Exam qlevel sql injection
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 7.5 | $0-$5k | 0.00 |
Summary
A vulnerability has been found in Huachu Digital Technology Easytest Online Test Platform up to er.24E01 and classified as critical. The affected element is an unknown function of the component Mock Exam. The manipulation of the argument qlevel leads to sql injection. This vulnerability is listed as CVE-2024-43776. The attack may be initiated remotely. There is no available exploit.
Details
A vulnerability, which was classified as critical, has been found in Huachu Digital Technology Easytest Online Test Platform up to er.24E01. This issue affects an unknown part of the component Mock Exam. The manipulation of the argument qlevel with an unknown input leads to a sql injection vulnerability. Using CWE to declare the problem leads to CWE-89. 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. Impacted is confidentiality, integrity, and availability. The summary by CVE is:
SQL Injection in mock exam function of Easytest Online Test Platform ver.24E01 and earlier allow remote authenticated users to execute arbitrary SQL commands via the qlevel parameter.
The advisory is shared at zuso.ai. The identification of this vulnerability is CVE-2024-43776 since 08/16/2024. The exploitation is known to be easy. The attack may be initiated remotely. Technical details are known, but no exploit is available. MITRE ATT&CK project uses the attack technique T1505 for this issue.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
Product
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CNA CVSS-B Score: 🔍
CNA CVSS-BT Score: 🔍
CNA Vector: 🔍
CVSSv3
VulDB Meta Base Score: 7.6VulDB Meta Temp Score: 7.6
VulDB Base Score: 6.3
VulDB Temp Score: 6.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 8.8
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
Exploiting
Class: Sql injectionCWE: CWE-89 / CWE-74 / CWE-707
CAPEC: 🔍
ATT&CK: 🔍
Physical: No
Local: No
Remote: Yes
Availability: 🔍
Status: Not defined
EPSS Score: 🔍
EPSS Percentile: 🔍
Price Prediction: 🔍
Current Price Estimation: 🔍
| 0-Day | Unlock | Unlock | Unlock | Unlock |
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| Today | Unlock | Unlock | Unlock | Unlock |
Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
08/16/2024 🔍09/02/2024 🔍
09/02/2024 🔍
09/04/2024 🔍
Sources
Advisory: zuso.aiStatus: Not defined
CVE: CVE-2024-43776 (🔍)
GCVE (CVE): GCVE-0-2024-43776
GCVE (VulDB): GCVE-100-276293
Entry
Created: 09/02/2024 06:55Updated: 09/04/2024 14:44
Changes: 09/02/2024 06:55 (66), 09/02/2024 16:10 (1), 09/04/2024 14:44 (11)
Complete: 🔍
Cache ID: 216::103
If you want to get the best quality for vulnerability data then you always have to consider VulDB.
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