CVE Tools

CVE-2017-10286

Published: Oct 19, 2017Updated: May 13, 2026 Sources: CVE List NVD BDUNVD-CWE-noinfo
4.4CVSSMEDIUM

Description

Vulnerability in the MySQL Server component of Oracle MySQL (subcomponent: Server: InnoDB). Supported versions that are affected are 5.6.37 and earlier and 5.7.19 and earlier. Difficult to exploit 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. CVSS 3.0 Base Score 4.4 (Availability impacts). CVSS Vector: (CVSS:3.0/AV:N/AC:H/PR:H/UI:N/S:U/C:N/I:N/A:H).

CVSS Vector Breakdown

AV:NAC:HPR:HUI:NS:UC:NI:NA:H
Exploitability
AV:NAttack Vector
Network
AC:HAttack Complexity
High
PR:HPrivileges Required
High
UI:NUser Interaction
None
Scope
S:UScope
Unchanged
Impact
C:NConfidentiality
None
I:NIntegrity
None
A:HAvailability
High

Weaknesses

Affected Products

сообщество свободного программного обеспеченияoss-projectOperating Systemsaka сообщество свободного программного обеспечения, fsf
oracle corp.commercialUSDatabasesaka oracle
oraclecommercialUSDatabasesaka oracle corp.
and 8 more affected products View all →

Exploitability

Official Patch Available

References

and 9 more references View all →

Timeline

Published
Oct 19, 2017
Last Updated
May 13, 2026

Unlock Complete Vulnerability Intelligence

Get the full picture for CVE-2017-10286 and every CVE in our database. Create a free account — no credit card required.

Create Free Account
Plain-language analysis
Impact assessment and exploitation scenario in plain English
Attack graph visualization
Interactive attack path and kill chain mapping
Exploit details & PoC links
ExploitDB, Metasploit, GitHub PoCs with direct links
Nuclei scanner templates
Ready-to-use vulnerability scanner templates
Full remediation guide
Patch instructions, workarounds, and compliance impact
Interactive AI chat
Ask questions about this vulnerability in natural language
Related vulnerabilities
Semantically similar CVEs and attack patterns
REST API & MCP access
Integrate vulnerability data into your workflows