CVE-2017-9633
BMW/Infiniti Nissan Infineon S-Gold2 Memory Buffer Overflow
Description
An Improper Restriction of Operations within the Bounds of a Memory Buffer issue was discovered in the Continental AG Infineon S-Gold 2 (PMB 8876) chipset on BMW several models produced between 2009-2010, Ford a limited number of P-HEV vehicles, Infiniti 2013 JX35, Infiniti 2014-2016 QX60, Infiniti 2014-2016 QX60 Hybrid, Infiniti 2014-2015 QX50, Infiniti 2014-2015 QX50 Hybrid, Infiniti 2013 M37/M56, Infiniti 2014-2016 Q70, Infiniti 2014-2016 Q70L, Infiniti 2015-2016 Q70 Hybrid, Infiniti 2013 QX56, Infiniti 2014-2016 QX 80, and Nissan 2011-2015 Leaf. A vulnerability in the temporary mobile subscriber identity (TMSI) may allow an attacker to access and control memory. This may allow remote code execution on the baseband radio processor of the TCU.
INFO
Published Date :
Aug. 7, 2017, 8:29 a.m.
Last Modified :
Nov. 21, 2024, 3:36 a.m.
Source :
[email protected]
Remotely Exploitable :
No
Impact Score :
5.9
Exploitability Score :
2.8
Public PoC/Exploit Available at Github
CVE-2017-9633 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-2017-9633.
| URL | Resource |
|---|---|
| http://www.securityfocus.com/bid/100132 | Third Party Advisory VDB Entry |
| https://ics-cert.us-cert.gov/advisories/ICSA-17-208-01 | Third Party Advisory US Government Resource |
| http://www.securityfocus.com/bid/100132 | Third Party Advisory VDB Entry |
| https://ics-cert.us-cert.gov/advisories/ICSA-17-208-01 | Third Party Advisory US Government Resource |
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).
Slides, Papers, Links to CVEs and advisories
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2017-9633 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2017-9633 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]
Oct. 09, 2019
Action Type Old Value New Value Added CWE ICS-CERT CWE-119 -
Initial Analysis by [email protected]
Aug. 25, 2017
Action Type Old Value New Value Added CVSS V2 (AV:A/AC:L/Au:N/C:C/I:C/A:C) Added CVSS V3 AV:A/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type http://www.securityfocus.com/bid/100132 No Types Assigned http://www.securityfocus.com/bid/100132 Third Party Advisory, VDB Entry Changed Reference Type https://ics-cert.us-cert.gov/advisories/ICSA-17-208-01 No Types Assigned https://ics-cert.us-cert.gov/advisories/ICSA-17-208-01 Third Party Advisory, US Government Resource Added CWE CWE-119 Added CPE Configuration OR *cpe:2.3:h:infineon:s-gold_2_pmb_8876:-:*:*:*:*:*:*:* -
CVE Modified by [email protected]
Aug. 08, 2017
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/100132 [No Types Assigned]
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2017-9633 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-2017-9633
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.62 }} 0.04%
score
0.78739
percentile