CVE-2018-5393
"TP-LINK EAP Controller Java RMI Authentication Bypass"
Description
The TP-LINK EAP Controller is TP-LINK's software for remotely controlling wireless access point devices. It utilizes a Java remote method invocation (RMI) service for remote control. The RMI interface does not require any authentication before use, so it lacks user authentication for RMI service commands in EAP controller versions 2.5.3 and earlier. Remote attackers can implement deserialization attacks through the RMI protocol. Successful attacks may allow a remote attacker to remotely control the target server and execute Java functions or bytecode.
INFO
Published Date :
Sept. 28, 2018, 5:29 p.m.
Last Modified :
Nov. 21, 2024, 4:08 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2018-5393 has a 1 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-2018-5393.
| URL | Resource |
|---|---|
| http://www.securityfocus.com/bid/105402 | Third Party Advisory VDB Entry |
| https://www.kb.cert.org/vuls/id/581311 | Third Party Advisory US Government Resource |
| http://www.securityfocus.com/bid/105402 | Third Party Advisory VDB Entry |
| https://www.kb.cert.org/vuls/id/581311 | Third Party Advisory US Government Resource |
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).
Compiled dataset of Java deserialization CVEs
java-deserialization deserialization cve security
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2018-5393 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2018-5393 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 http://www.securityfocus.com/bid/105402 Added Reference https://www.kb.cert.org/vuls/id/581311 -
CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
CVE Modified by [email protected]
Oct. 09, 2019
Action Type Old Value New Value Added CWE CERT/CC CWE-306 -
Initial Analysis by [email protected]
Jan. 07, 2019
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:L/Au:N/C:C/I:C/A:C) Added CVSS V3 AV:N/AC:L/PR:N/UI:N/S:U/C:H/I:H/A:H Changed Reference Type http://www.securityfocus.com/bid/105402 No Types Assigned http://www.securityfocus.com/bid/105402 Third Party Advisory, VDB Entry Changed Reference Type https://www.kb.cert.org/vuls/id/581311 No Types Assigned https://www.kb.cert.org/vuls/id/581311 Third Party Advisory, US Government Resource Added CWE CWE-306 Added CPE Configuration OR *cpe:2.3:a:tp-link:eap_controller:*:*:*:*:*:*:*:* versions up to (including) 2.5.3 -
CVE Modified by [email protected]
Sep. 29, 2018
Action Type Old Value New Value Added Reference http://www.securityfocus.com/bid/105402 [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-2018-5393 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-2018-5393
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.93 }} 0.42%
score
0.82746
percentile