Jinan USR IOT USR-WIFI232 Low Power WiFi Module 1.2.2 Web Interface cross site scripting
| CVSS Meta Temp Score | Current Exploit Price (≈) | CTI Interest Score |
|---|---|---|
| 5.2 | $0-$5k | 0.00 |
Summary
A vulnerability, which was classified as problematic, has been found in Jinan USR IOT USR-WIFI232 Low Power WiFi Module 1.2.2. The impacted element is an unknown function of the component Web Interface. The manipulation leads to cross site scripting. This vulnerability is documented as CVE-2019-18842. The attack can be initiated remotely. There is not any exploit available.
Details
A vulnerability, which was classified as problematic, has been found in Jinan USR IOT USR-WIFI232 Low Power WiFi Module 1.2.2 (Wireless LAN Software). This issue affects an unknown functionality of the component Web Interface. The manipulation with an unknown input leads to a cross site scripting vulnerability. Using CWE to declare the problem leads to CWE-79. The product does not neutralize or incorrectly neutralizes user-controllable input before it is placed in output that is used as a web page that is served to other users. Impacted is integrity. The summary by CVE is:
A cross-site scripting (XSS) vulnerability in the configuration web interface of the Jinan USR IOT USR-WIFI232-S/T/G2/H Low Power WiFi Module with web version 1.2.2 allows attackers to leak credentials of the Wi-Fi access point the module is logged into, and the web interface login credentials, by opening a Wi-Fi access point nearby with a malicious SSID.
The weakness was released 01/06/2020. The identification of this vulnerability is CVE-2019-18842 since 11/09/2019. The attack may be initiated remotely. No form of authentication is needed for a successful exploitation. It demands that the victim is doing some kind of user interaction. The technical details are unknown and an exploit is not publicly available. The attack technique deployed by this issue is T1059.007 according to MITRE ATT&CK.
There is no information about possible countermeasures known. It may be suggested to replace the affected object with an alternative product.
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
Product
Type
Vendor
Name
Version
CPE 2.3
CPE 2.2
CVSSv4
VulDB Vector: 🔍VulDB Reliability: 🔍
CVSSv3
VulDB Meta Base Score: 5.2VulDB Meta Temp Score: 5.2
VulDB Base Score: 4.3
VulDB Temp Score: 4.3
VulDB Vector: 🔍
VulDB Reliability: 🔍
NVD Base Score: 6.1
NVD Vector: 🔍
CVSSv2
| AV | AC | Au | C | I | A |
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| Vector | Complexity | Authentication | Confidentiality | Integrity | Availability |
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VulDB Base Score: 🔍
VulDB Temp Score: 🔍
VulDB Reliability: 🔍
NVD Base Score: 🔍
Exploiting
Class: Cross site scriptingCWE: CWE-79 / CWE-94 / CWE-74
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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Threat Intelligence
Interest: 🔍Active Actors: 🔍
Active APT Groups: 🔍
Countermeasures
Recommended: no mitigation knownStatus: 🔍
0-Day Time: 🔍
Timeline
11/09/2019 🔍01/06/2020 🔍
01/07/2020 🔍
03/19/2024 🔍
Sources
Advisory: tildeho.meStatus: Not defined
CVE: CVE-2019-18842 (🔍)
GCVE (CVE): GCVE-0-2019-18842
GCVE (VulDB): GCVE-100-148331
Entry
Created: 01/07/2020 10:35Updated: 03/19/2024 16:59
Changes: 01/07/2020 10:35 (35), 01/07/2020 10:40 (18), 03/19/2024 16:59 (17)
Complete: 🔍
Cache ID: 216::103
Statistical analysis made it clear that VulDB provides the best quality for vulnerability data.
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