CVE-2020-5551
Toyota DCU Unauthenticated Remote Code Execution and Denial of Service Attack Vulnerability
Description
Toyota 2017 Model Year DCU (Display Control Unit) allows an unauthenticated attacker within Bluetooth range to cause a denial of service attack and/or execute an arbitrary command. The affected DCUs are installed in Lexus (LC, LS, NX, RC, RC F), TOYOTA CAMRY, and TOYOTA SIENNA manufactured in the regions other than Japan from Oct. 2016 to Oct. 2019. An attacker with certain knowledge on the target vehicle control system may be able to send some diagnostic commands to ECUs with some limited availability impacts; the vendor states critical vehicle controls such as driving, turning, and stopping are not affected.
INFO
Published Date :
March 30, 2020, 5:15 a.m.
Last Modified :
April 3, 2020, 10:45 p.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
5.9
Exploitability Score :
2.8
Public PoC/Exploit Available at Github
CVE-2020-5551 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-2020-5551
.
URL | Resource |
---|---|
https://global.toyota/en/newsroom/corporate/32120629.html | Exploit Vendor Advisory |
https://jvn.jp/en/vu/JVNVU99396686/index.html | 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).
BlueToolkit is an extensible Bluetooth Classic vulnerability testing framework that helps uncover new and old vulnerabilities in Bluetooth-enabled devices. Could be used in the vulnerability research, penetration testing and bluetooth hacking. We also collected and classified Bluetooth vulnerabilities in an "Awesome Bluetooth Security" way
bluetooth bluetooth-classic bluetooth-security exploit security security-tools bluetooth-toolkit awesome awesome-list bluetooth-hacking information-security penetration-testing pentesting wireless-security
Shell Ruby
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2020-5551
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2020-5551
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 -
Initial Analysis by [email protected]
Apr. 03, 2020
Action Type Old Value New Value Added CVSS V2 NIST (AV:A/AC:M/Au:N/C:P/I:P/A:P) Added CVSS V3.1 NIST AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://global.toyota/en/newsroom/corporate/32120629.html No Types Assigned https://global.toyota/en/newsroom/corporate/32120629.html Exploit, Vendor Advisory Changed Reference Type https://jvn.jp/en/vu/JVNVU99396686/index.html No Types Assigned https://jvn.jp/en/vu/JVNVU99396686/index.html Third Party Advisory Added CWE NIST CWE-276 Added CPE Configuration OR *cpe:2.3:h:toyota:display_control_unit:-:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2020-5551
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-2020-5551
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.12 }} 0.01%
score
0.46248
percentile