CVE-2019-13143
Shenzhen Dragon Brothers Fingerprint Bluetooth Round Padlock FB50 Cross-Site Request Forgery (CSRF) Vulnerability
Description
An HTTP parameter pollution issue was discovered on Shenzhen Dragon Brothers Fingerprint Bluetooth Round Padlock FB50 2.3. With the user ID, user name, and the lock's MAC address, anyone can unbind the existing owner of the lock, and bind themselves instead. This leads to complete takeover of the lock. The user ID, name, and MAC address are trivially obtained from APIs found within the Android or iOS application. With only the MAC address of the lock, any attacker can transfer ownership of the lock from the current user, over to the attacker's account. Thus rendering the lock completely inaccessible to the current user.
INFO
Published Date :
Aug. 6, 2019, 6:15 p.m.
Last Modified :
Nov. 21, 2024, 4:24 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2019-13143 has a 6 public PoC/Exploit
available at Github.
Go to the Public Exploits
tab to see the list.
Affected Products
The following products are affected by CVE-2019-13143
vulnerability.
Even if cvefeed.io
is aware of the exact versions of the
products
that
are
affected, the information is not represented in the table below.
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-2019-13143
.
URL | Resource |
---|---|
http://blog.securelayer7.net/fb50-smart-lock-vulnerability-disclosure/ | Exploit Third Party Advisory |
http://blog.securelayer7.net/fb50-smart-lock-vulnerability-disclosure/ | Exploit Third Party Advisory |
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).
None
2019年天融信阿尔法实验室在微信公众号发布的所有安全资讯汇总
None
PoC code for vulnerabilities on the OKLOK (3.1.1) mobile companion app for Fingerprint Bluetooth Padlock FB50 (2.3).
Python
None
:unlock: transfer ownership of any FB50 smart lock to yourself (CVE-2019-13143)
smartlock exploit iot
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-2019-13143
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2019-13143
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 -
CWE Remap by [email protected]
Aug. 24, 2020
Action Type Old Value New Value Changed CWE CWE-254 CWE-20 -
Initial Analysis by [email protected]
Aug. 14, 2019
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:L/Au:N/C:P/I:P/A:C) Added CVSS V3 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type http://blog.securelayer7.net/fb50-smart-lock-vulnerability-disclosure/ No Types Assigned http://blog.securelayer7.net/fb50-smart-lock-vulnerability-disclosure/ Exploit, Third Party Advisory Added CWE CWE-254 Added CPE Configuration AND OR *cpe:2.3:o:shenzhen_dragon_brothers:fb50_firmware:2.3:*:*:*:*:*:*:* OR cpe:2.3:h:shenzhen_dragon_brothers:fb50:-:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2019-13143
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-2019-13143
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.53 }} 0.01%
score
0.73857
percentile