CVE-2019-1659
Cisco Prime Infrastructure SSL Certificate Certificate Forgery Vulnerability
Description
A vulnerability in the Identity Services Engine (ISE) integration feature of Cisco Prime Infrastructure (PI) could allow an unauthenticated, remote attacker to perform a man-in-the-middle attack against the Secure Sockets Layer (SSL) tunnel established between ISE and PI. The vulnerability is due to improper validation of the server SSL certificate when establishing the SSL tunnel with ISE. An attacker could exploit this vulnerability by using a crafted SSL certificate and could then intercept communications between the ISE and PI. A successful exploit could allow the attacker to view and alter potentially sensitive information that the ISE maintains about clients that are connected to the network. This vulnerability affects Cisco Prime Infrastructure Software Releases 2.2 through 3.4.0 when the PI server is integrated with ISE, which is disabled by default.
INFO
Published Date :
Feb. 21, 2019, 3:29 p.m.
Last Modified :
Oct. 9, 2019, 11:47 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.2
Exploitability Score :
2.2
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-2019-1659.
| URL | Resource |
|---|---|
| http://www.securityfocus.com/bid/107092 | Third Party Advisory |
| https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190220-prime-validation | Vendor 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).
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2019-1659 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2019-1659 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 CVSS V3 Cisco Systems, Inc. AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N Added CWE Cisco Systems, Inc. CWE-295 -
Initial Analysis by [email protected]
Feb. 22, 2019
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:M/Au:N/C:P/I:P/A:N) Added CVSS V3 AV:N/AC:H/PR:N/UI:N/S:U/C:H/I:H/A:N Changed Reference Type https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190220-prime-validation No Types Assigned https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190220-prime-validation Vendor Advisory Changed Reference Type http://www.securityfocus.com/bid/107092 No Types Assigned http://www.securityfocus.com/bid/107092 Third Party Advisory Added CWE CWE-295 Added CPE Configuration OR *cpe:2.3:a:cisco:prime_infrastructure:*:*:*:*:*:*:*:* versions from (including) 2.2 up to (including) 3.4.0 -
CVE Modified by [email protected]
Feb. 22, 2019
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/107092 [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-2019-1659 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-2019-1659
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.14 }} 0.00%
score
0.47365
percentile