CVE-2019-1631
"Cisco IMC Unauthenticated Data Disclosure"
Description
A vulnerability in the web-based management interface of Cisco Integrated Management Controller (IMC) could allow an unauthenticated, remote attacker to access potentially sensitive system usage information. The vulnerability is due to a lack of proper data protection mechanisms. An attacker could exploit this vulnerability by sending a crafted HTTP request to an affected device. A successful exploit could allow an attacker to view sensitive system data.
INFO
Published Date :
June 20, 2019, 3:15 a.m.
Last Modified :
Oct. 9, 2019, 11:47 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
1.4
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2019-1631 has a 3 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
Affected Products
The following products are affected by CVE-2019-1631
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-2019-1631.
| URL | Resource |
|---|---|
| http://www.securityfocus.com/bid/108849 | Third Party Advisory VDB Entry |
| https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190619-imc-infodisclos | 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).
None
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Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2019-1631 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2019-1631 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:N/S:U/C:L/I:N/A:N Added CWE Cisco Systems, Inc. CWE-306 -
Initial Analysis by [email protected]
Jun. 21, 2019
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:L/Au:N/C:P/I:N/A:N) Added CVSS V3 AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N Changed Reference Type http://www.securityfocus.com/bid/108849 No Types Assigned http://www.securityfocus.com/bid/108849 Third Party Advisory, VDB Entry Changed Reference Type https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190619-imc-infodisclos No Types Assigned https://tools.cisco.com/security/center/content/CiscoSecurityAdvisory/cisco-sa-20190619-imc-infodisclos Vendor Advisory Added CWE CWE-306 Added CPE Configuration OR *cpe:2.3:a:cisco:integrated_management_controller:-:*:*:*:*:*:*:* Added CPE Configuration OR *cpe:2.3:a:cisco:unified_computing_system:4.0\(1c\)hs3:*:*:*:*:*:*:* -
CVE Modified by [email protected]
Jun. 21, 2019
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/108849 [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-2019-1631 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-2019-1631
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.09 }} 0.00%
score
0.36683
percentile