CVE-2019-2467
Oracle Outside In Technology HTTP DOS Vulnerability
Description
Vulnerability in the Oracle Outside In Technology component of Oracle Fusion Middleware (subcomponent: Outside In Filters). Supported versions that are affected are 8.5.3 and 8.5.4. Easily exploitable vulnerability allows unauthenticated attacker with network access via HTTP to compromise Oracle Outside In Technology. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of Oracle Outside In Technology. Note: Outside In Technology is a suite of software development kits (SDKs). The protocol and CVSS score depend on the software that uses the Outside In Technology code. The CVSS score assumes that the software passes data received over a network directly to Outside In Technology code, but if data is not received over a network the CVSS score may be lower. CVSS 3.0 Base Score 7.5 (Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H).
INFO
Published Date :
Jan. 16, 2019, 7:30 p.m.
Last Modified :
Aug. 24, 2020, 5:37 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
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-2019-2467
.
URL | Resource |
---|---|
http://www.oracle.com/technetwork/security-advisory/cpujan2019-5072801.html | Patch Vendor Advisory |
http://www.securityfocus.com/bid/106569 | 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-2019-2467
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2019-2467
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 -
CWE Remap by [email protected]
Aug. 24, 2020
Action Type Old Value New Value Changed CWE CWE-284 NVD-CWE-noinfo -
Initial Analysis by [email protected]
Jan. 18, 2019
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:L/Au:N/C:N/I:N/A:P) Added CVSS V3 AV:N/AC:L/PR:N/UI:N/S:U/C:N/I:N/A:H Changed Reference Type http://www.securityfocus.com/bid/106569 No Types Assigned http://www.securityfocus.com/bid/106569 Third Party Advisory, VDB Entry Changed Reference Type http://www.oracle.com/technetwork/security-advisory/cpujan2019-5072801.html No Types Assigned http://www.oracle.com/technetwork/security-advisory/cpujan2019-5072801.html Patch, Vendor Advisory Added CWE CWE-284 Added CPE Configuration OR *cpe:2.3:a:oracle:outside_in_technology:8.5.3:*:*:*:*:*:*:* *cpe:2.3:a:oracle:outside_in_technology:8.5.4:*:*:*:*:*:*:* -
CVE Modified by [email protected]
Jan. 17, 2019
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/106569 [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-2019-2467
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-2019-2467
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.07 }} -0.02%
score
0.30562
percentile