CVE-2020-4669
"IBM Planning Analytics MongoDB Unauthenticated Access Vulnerability"
Description
IBM Planning Analytics Local 2.0 connects to a MongoDB server. MongoDB, a document-oriented database system, is listening on the remote port, and it is configured to allow connections without password authentication. A remote attacker can gain unauthorized access to the database. IBM X-Force ID: 184600.
INFO
Published Date :
May 17, 2021, 5:15 p.m.
Last Modified :
May 24, 2021, 3:09 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.2
Exploitability Score :
3.9
Affected Products
The following products are affected by CVE-2020-4669
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-2020-4669
.
URL | Resource |
---|---|
https://exchange.xforce.ibmcloud.com/vulnerabilities/186400 | VDB Entry Vendor Advisory |
https://www.ibm.com/support/pages/node/6436821 | Patch 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-2020-4669
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2020-4669
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 -
Initial Analysis by [email protected]
May. 24, 2021
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:N/C:P/I:P/A:N) Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:N Changed Reference Type https://exchange.xforce.ibmcloud.com/vulnerabilities/186400 No Types Assigned https://exchange.xforce.ibmcloud.com/vulnerabilities/186400 VDB Entry, Vendor Advisory Changed Reference Type https://www.ibm.com/support/pages/node/6436821 No Types Assigned https://www.ibm.com/support/pages/node/6436821 Patch, Vendor Advisory Added CWE NIST CWE-862 Added CPE Configuration OR *cpe:2.3:a:ibm:planning_analytics_cloud:2.0.0:*:*:*:*:*:*:* *cpe:2.3:a:ibm:planning_analytics_local:2.0.0:*:*:*:*:*:*:* -
CVE Modified by [email protected]
May. 17, 2021
Action Type Old Value New Value Changed Description IBM Planning Analytics Local 2.0 connects to a MongoDB server. MongoDB, a document-oriented database system, is listening on the remote port, and it is configured to allow connections without password authentication. A remote attacker can gain unauthorized access to the database. IBM X-Force ID: 184600. IBM Planning Analytics Local 2.0 connects to a MongoDB server. MongoDB, a document-oriented database system, is listening on the remote port, and it is configured to allow connections without password authentication. A remote attacker can gain unauthorized access to the database. IBM X-Force ID: 184600.
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2020-4669
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-2020-4669
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.52 }} 0.01%
score
0.76731
percentile