CVE-2019-12820
Shenzhen Jisiwei i3 Robot Vacuum Cleaner Unencrypted Communications Information Disclosure Multiple
Description
A vulnerability was found in the app 2.0 of the Shenzhen Jisiwei i3 robot vacuum cleaner. Actions performed on the app such as changing a password, and personal information it communicates with the server, use unencrypted HTTP. As an example, while logging in through the app to a Jisiwei account, the login request is being sent in cleartext. The vulnerability exists in both the Android and iOS version of the app. An attacker could exploit this by using an MiTM attack on the local network to obtain someone's login credentials, which gives them full access to the robot vacuum cleaner.
INFO
Published Date :
July 19, 2019, 6:15 p.m.
Last Modified :
Nov. 21, 2024, 4:23 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.4
Exploitability Score :
2.2
Public PoC/Exploit Available at Github
CVE-2019-12820 has a 1 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
References to Advisories, Solutions, and Tools
Here, you will find a curated list of external links that provide in-depth
information, practical solutions, and valuable tools related to
CVE-2019-12820.
| URL | Resource |
|---|---|
| https://www.kth.se/polopoly_fs/1.914058.1561621210%21/Olsson_Larsson-Forsberg_vacuum.pdf | |
| https://www.kth.se/polopoly_fs/1.914058.1561621210%21/Olsson_Larsson-Forsberg_vacuum.pdf |
We scan GitHub repositories to detect new proof-of-concept exploits. Following list is a collection of public exploits and proof-of-concepts, which have been published on GitHub (sorted by the most recently updated).
This is resources and documentation needed for recreating the hack for the JISIWEI Vacuum Cleaner Robot owned by the NSE Cyber Security Lab at KTH EECS.
Shell Python
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2019-12820 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2019-12820 vulnerability over time.
Vulnerability history details can be useful for understanding the evolution of a vulnerability, and for identifying the most recent changes that may impact the vulnerability's severity, exploitability, or other characteristics.
-
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Nov. 07, 2023
Action Type Old Value New Value Added Reference MITRE https://www.kth.se/polopoly_fs/1.914058.1561621210%21/Olsson_Larsson-Forsberg_vacuum.pdf [No types assigned] Removed Reference MITRE https://www.kth.se/polopoly_fs/1.914058.1561621210!/Olsson_Larsson-Forsberg_vacuum.pdf -
CWE Remap by [email protected]
Aug. 24, 2020
Action Type Old Value New Value Changed CWE CWE-255 CWE-319 -
Initial Analysis by [email protected]
Aug. 02, 2019
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:M/Au:N/C:P/I:N/A:N) Added CVSS V3 AV:N/AC:H/PR:N/UI:N/S:U/C:L/I:L/A:L Changed Reference Type https://www.kth.se/polopoly_fs/1.914058.1561621210!/Olsson_Larsson-Forsberg_vacuum.pdf No Types Assigned https://www.kth.se/polopoly_fs/1.914058.1561621210!/Olsson_Larsson-Forsberg_vacuum.pdf Exploit, Technical Description, Third Party Advisory Added CWE CWE-255 Added CPE Configuration AND OR *cpe:2.3:o:jisiwei:i3_firmware:2.0:*:*:*:*:*:*:* OR cpe:2.3:h:jisiwei:i3:-:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2019-12820 is
associated with the following CWEs:
Common Attack Pattern Enumeration and Classification (CAPEC)
Common Attack Pattern Enumeration and Classification
(CAPEC)
stores attack patterns, which are descriptions of the common attributes and
approaches employed by adversaries to exploit the CVE-2019-12820
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.07 }} -0.02%
score
0.30030
percentile