CVE-2017-10093
Oracle Agile PLM HTTP Unauthenticated Data Disclosure Vulnerability
Description
Vulnerability in the Oracle Agile PLM component of Oracle Supply Chain Products Suite (subcomponent: Security). Supported versions that are affected are 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 of this vulnerability can result in unauthorized read access to a subset of Oracle Agile PLM accessible data. CVSS 3.0 Base Score 5.3 (Confidentiality impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:L/I:N/A:N).
INFO
Published Date :
Aug. 8, 2017, 3:29 p.m.
Last Modified :
Aug. 10, 2017, 8:53 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
1.4
Exploitability Score :
3.9
Affected Products
The following products are affected by CVE-2017-10093
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-2017-10093
.
URL | Resource |
---|---|
http://www.oracle.com/technetwork/security-advisory/cpujul2017-3236622.html | Patch Vendor Advisory |
http://www.securityfocus.com/bid/99692 | Third Party Advisory VDB Entry |
http://www.securitytracker.com/id/1038947 | Third Party Advisory VDB Entry |
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-2017-10093
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2017-10093
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]
Aug. 10, 2017
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/99692 No Types Assigned http://www.securityfocus.com/bid/99692 Third Party Advisory, VDB Entry Changed Reference Type http://www.oracle.com/technetwork/security-advisory/cpujul2017-3236622.html No Types Assigned http://www.oracle.com/technetwork/security-advisory/cpujul2017-3236622.html Patch, Vendor Advisory Changed Reference Type http://www.securitytracker.com/id/1038947 No Types Assigned http://www.securitytracker.com/id/1038947 Third Party Advisory, VDB Entry Added CWE CWE-200 Added CPE Configuration OR *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:*:*:*:*:*:*:* -
CVE Modified by [email protected]
Aug. 10, 2017
Action Type Old Value New Value Added Reference http://www.securitytracker.com/id/1038947 [No Types Assigned] Added Reference http://www.securityfocus.com/bid/99692 [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-2017-10093
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-2017-10093
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.15 }} 0.00%
score
0.49798
percentile