CVE-2020-14760
Oracle MySQL Server: Unauthenticated Data Manipulation and Denial of Service
Description
Vulnerability in the MySQL Server product of Oracle MySQL (component: Server: Optimizer). Supported versions that are affected are 5.7.31 and prior. Easily exploitable vulnerability allows high privileged attacker with network access via multiple protocols to compromise MySQL Server. Successful attacks of this vulnerability can result in unauthorized ability to cause a hang or frequently repeatable crash (complete DOS) of MySQL Server as well as unauthorized update, insert or delete access to some of MySQL Server accessible data. CVSS 3.1 Base Score 5.5 (Integrity and Availability impacts). CVSS Vector: (CVSS:3.1/AV:N/AC:L/PR:H/UI:N/S:U/C:N/I:L/A:H).
INFO
Published Date :
Oct. 21, 2020, 3:15 p.m.
Last Modified :
March 29, 2022, 7:40 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
4.2
Exploitability Score :
1.2
Public PoC/Exploit Available at Github
CVE-2020-14760 has a 2 public PoC/Exploit available at Github.
Go to the Public Exploits tab to see the list.
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-2020-14760.
| URL | Resource |
|---|---|
| https://security.gentoo.org/glsa/202105-27 | Third Party Advisory |
| https://security.netapp.com/advisory/ntap-20201023-0003/ | Third Party Advisory |
| https://www.oracle.com/security-alerts/cpuoct2020.html | 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).
None
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The following list is the news that have been mention
CVE-2020-14760 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2020-14760 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 -
Modified Analysis by [email protected]
Mar. 29, 2022
Action Type Old Value New Value Changed Reference Type https://security.gentoo.org/glsa/202105-27 No Types Assigned https://security.gentoo.org/glsa/202105-27 Third Party Advisory -
CVE Modified by [email protected]
May. 26, 2021
Action Type Old Value New Value Added Reference https://security.gentoo.org/glsa/202105-27 [No Types Assigned] -
Initial Analysis by [email protected]
Oct. 23, 2020
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:S/C:N/I:P/A:C) Changed Reference Type https://security.netapp.com/advisory/ntap-20201023-0003/ No Types Assigned https://security.netapp.com/advisory/ntap-20201023-0003/ Third Party Advisory Changed Reference Type https://www.oracle.com/security-alerts/cpuoct2020.html No Types Assigned https://www.oracle.com/security-alerts/cpuoct2020.html Patch, Vendor Advisory Added CWE NIST NVD-CWE-noinfo Added CPE Configuration OR *cpe:2.3:a:oracle:mysql:*:*:*:*:*:*:*:* versions up to (including) 5.7.31 -
CVE Modified by [email protected]
Oct. 23, 2020
Action Type Old Value New Value Added Reference https://security.netapp.com/advisory/ntap-20201023-0003/ [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-2020-14760 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-2020-14760
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
0.33407
percentile