CVE-2017-12364
Cisco Prime Service Catalog SQL Injection Vulnerability
Description
A SQL Injection vulnerability in the web framework of Cisco Prime Service Catalog could allow an unauthenticated, remote attacker to execute unauthorized Structured Query Language (SQL) queries. The vulnerability is due to a failure to validate user-supplied input that is used in SQL queries. An attacker could exploit this vulnerability by sending a crafted SQL statement to an affected system. Successful exploitation could allow the attacker to read entries in some database tables. Cisco Bug IDs: CSCvg30333.
INFO
Published Date :
Nov. 30, 2017, 9:29 a.m.
Last Modified :
Oct. 9, 2019, 11:23 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
2.5
Exploitability Score :
3.9
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-2017-12364
.
URL | Resource |
---|---|
http://www.securityfocus.com/bid/102004 | Third Party Advisory VDB Entry |
http://www.securitytracker.com/id/1039926 | Third Party Advisory VDB Entry |
https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20171129-prime | 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-2017-12364
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2017-12364
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 Cisco Systems, Inc. CWE-89 -
Initial Analysis by [email protected]
Dec. 05, 2017
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:L/Au:N/C:P/I:P/A:N) Added CVSS V3 AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:L/A:N Changed Reference Type https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20171129-prime No Types Assigned https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20171129-prime Vendor Advisory Changed Reference Type http://www.securitytracker.com/id/1039926 No Types Assigned http://www.securitytracker.com/id/1039926 Third Party Advisory, VDB Entry Changed Reference Type http://www.securityfocus.com/bid/102004 No Types Assigned http://www.securityfocus.com/bid/102004 Third Party Advisory, VDB Entry Added CWE CWE-89 Added CPE Configuration OR *cpe:2.3:a:cisco:prime_service_catalog:11.1.1:*:*:*:*:*:*:* *cpe:2.3:a:cisco:prime_service_catalog:12.0:*:*:*:*:*:*:* *cpe:2.3:a:cisco:prime_service_catalog:12.1:*:*:*:*:*:*:* -
CVE Modified by [email protected]
Dec. 03, 2017
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/102004 [No Types Assigned] -
CVE Modified by [email protected]
Dec. 02, 2017
Action Type Old Value New Value Added Reference http://www.securitytracker.com/id/1039926 [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-2017-12364
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-2017-12364
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.10 }} -0.03%
score
0.40423
percentile