CVE-2020-2920
Oracle Agile PLM Security HTTP Unauthenticated Stored Cross-Site Request Forgery (CSRF) Vulnerability
Description
Vulnerability in the Oracle Agile PLM product of Oracle Supply Chain (component: Security). Supported versions that are affected are 9.3.3, 9.3.5 and 9.3.6. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Agile PLM. Successful attacks require human interaction from a person other than the attacker and while the vulnerability is in Oracle Agile PLM, attacks may significantly impact additional products. Successful attacks of this vulnerability can result in unauthorized update, insert or delete access to some of Oracle Agile PLM accessible data as well as unauthorized read access to a subset of Oracle Agile PLM accessible data. CVSS 3.0 Base Score 6.1 (Confidentiality and Integrity impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N).
INFO
Published Date :
April 15, 2020, 2:15 p.m.
Last Modified :
Nov. 21, 2024, 5:26 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
2.7
Exploitability Score :
2.8
Affected Products
The following products are affected by CVE-2020-2920
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-2020-2920
.
URL | Resource |
---|---|
https://www.oracle.com/security-alerts/cpuapr2020.html | Vendor Advisory |
https://www.oracle.com/security-alerts/cpuapr2020.html | 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-2020-2920
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2020-2920
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 af854a3a-2127-422b-91ae-364da2661108
Nov. 21, 2024
Action Type Old Value New Value Added Reference https://www.oracle.com/security-alerts/cpuapr2020.html -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Apr. 16, 2020
Action Type Old Value New Value Added CVSS V2 Metadata Victim must voluntarily interact with attack mechanism Added CVSS V2 NIST (AV:N/AC:M/Au:N/C:P/I:P/A:N) Added CVSS V3.1 NIST AV:N/AC:L/PR:N/UI:R/S:C/C:L/I:L/A:N Changed Reference Type https://www.oracle.com/security-alerts/cpuapr2020.html No Types Assigned https://www.oracle.com/security-alerts/cpuapr2020.html Vendor Advisory Added CWE NIST NVD-CWE-noinfo Added CPE Configuration OR *cpe:2.3:a:oracle:agile_product_lifecycle_management_framework:9.3.3:*:*:*:*:*:*:* *cpe:2.3:a:oracle:agile_product_lifecycle_management_framework:9.3.5:*:*:*:*:*:*:* *cpe:2.3:a:oracle:agile_product_lifecycle_management_framework:9.3.6:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2020-2920
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-2020-2920
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.08 }} 0.00%
score
0.33731
percentile