CVE-2019-1670
Cisco Unified Intelligence Center Software Cross-Site Scripting Vulnerability
Description
A vulnerability in the web-based management interface of Cisco Unified Intelligence Center Software could allow an unauthenticated, remote attacker to conduct a cross-site scripting (XSS) attack against a user of the web interface of an affected system. The vulnerability is due to insufficient input validation of a user-supplied value. An attacker could exploit this vulnerability by convincing a user to click a specific link. A successful exploit could allow the attacker to submit arbitrary requests to the affected system via a web browser with the privileges of the user.
INFO
Published Date :
Feb. 7, 2019, 10:29 p.m.
Last Modified :
Oct. 9, 2019, 11:47 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
2.7
Exploitability Score :
2.8
Affected Products
The following products are affected by CVE-2019-1670
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-2019-1670
.
URL | Resource |
---|---|
http://www.securityfocus.com/bid/106919 | Third Party Advisory VDB Entry |
https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190206-cuic-xss | 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-2019-1670
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2019-1670
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:L/PR:N/UI:R/S:C/C:L/I:L/A:N Added CWE Cisco Systems, Inc. CWE-79 -
Modified Analysis by [email protected]
Feb. 28, 2019
Action Type Old Value New Value Changed Reference Type http://www.securityfocus.com/bid/106919 No Types Assigned http://www.securityfocus.com/bid/106919 Third Party Advisory, VDB Entry -
CVE Modified by [email protected]
Feb. 09, 2019
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/106919 [No Types Assigned] -
Initial Analysis by [email protected]
Feb. 08, 2019
Action Type Old Value New Value Added CVSS V2 Metadata Victim must voluntarily interact with attack mechanism Added CVSS V2 (AV:N/AC:M/Au:N/C:N/I:P/A:N) Added CVSS V3 AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N Changed Reference Type https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190206-cuic-xss No Types Assigned https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190206-cuic-xss Vendor Advisory Added CWE CWE-79 Added CPE Configuration OR *cpe:2.3:o:cisco:unified_intelligence_center:9.5\(1\):*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2019-1670
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-2019-1670
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.13 }} -0.03%
score
0.47812
percentile