CVE-2017-16885
FiberHome LM53Q1 VH519R05C01S38 Portal Information Disclosure
Description
Improper Permissions Handling in the Portal on FiberHome LM53Q1 VH519R05C01S38 devices (intended for obtaining information about Internet Usage, Changing Passwords, etc.) allows remote attackers to look for the information without authenticating. The information includes Version of device, Firmware ID, Connected users to device along their MAC Addresses, etc.
INFO
Published Date :
Jan. 12, 2018, 5:29 p.m.
Last Modified :
Oct. 3, 2019, 12:03 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
3.9
Public PoC/Exploit Available at Github
CVE-2017-16885 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-2017-16885.
| URL | Resource |
|---|---|
| http://seclists.org/fulldisclosure/2018/Jan/28 | Mailing List Third Party Advisory |
| https://www.exploit-db.com/exploits/43460/ | Exploit 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).
Risklogyx represents a robust solution that aids in the prioritization of vulnerability patching. It achieves this by amalgamating CVSS, EPSS, and CISA's Known Exploited Vulnerabilities data. This tool delivers invaluable insights into the probability of exploitation and the potential repercussions of vulnerabilities on your information system.
Python
Streamline vulnerability patching with CVSS, EPSS, and CISA's Known Exploited Vulnerabilities. Prioritize actions based on real-time threat information, gain a competitive advantage, and stay informed about the latest trends.
cisa-kev cve cvss epss nist nvd patching vulnerability-management
Python
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2017-16885 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2017-16885 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]
Oct. 03, 2019
Action Type Old Value New Value Changed CWE CWE-275 CWE-732 -
Initial Analysis by [email protected]
Feb. 02, 2018
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:H/I:H/A:H Changed Reference Type http://seclists.org/fulldisclosure/2018/Jan/28 No Types Assigned http://seclists.org/fulldisclosure/2018/Jan/28 Mailing List, Third Party Advisory Changed Reference Type https://www.exploit-db.com/exploits/43460/ No Types Assigned https://www.exploit-db.com/exploits/43460/ Exploit, Third Party Advisory, VDB Entry Added CWE CWE-275 Added CPE Configuration AND OR *cpe:2.3:o:fiberhome:lm53q1_firmware:vh519r05c01s38:*:*:*:*:*:*:* OR cpe:2.3:h:fiberhome:lm53q1:-:*:*:*:*:*:*:*
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2017-16885 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-2017-16885
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
1.82 }} -0.74%
score
0.86877
percentile