CVE-2017-16524
Samsung SRN-1670D Web Viewer Unrestricted File Upload vulnerability
Description
Web Viewer 1.0.0.193 on Samsung SRN-1670D devices suffers from an Unrestricted file upload vulnerability: 'network_ssl_upload.php' allows remote authenticated attackers to upload and execute arbitrary PHP code via a filename with a .php extension, which is then accessed via a direct request to the file in the upload/ directory. To authenticate for this attack, one can obtain web-interface credentials in cleartext by leveraging the existing Local File Read Vulnerability referenced as CVE-2015-8279, which allows remote attackers to read the web-interface credentials via a request for the cslog_export.php?path=/root/php_modules/lighttpd/sbin/userpw URI.
INFO
Published Date :
Nov. 6, 2017, 8:29 a.m.
Last Modified :
Nov. 21, 2024, 3:16 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
5.9
Exploitability Score :
2.8
Public PoC/Exploit Available at Github
CVE-2017-16524 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-2017-16524
.
URL | Resource |
---|---|
https://github.com/realistic-security/CVE-2017-16524 | Exploit Issue Tracking Third Party Advisory |
https://www.exploit-db.com/exploits/43138/ | Exploit Issue Tracking Third Party Advisory VDB Entry |
https://github.com/realistic-security/CVE-2017-16524 | Exploit Issue Tracking Third Party Advisory |
https://www.exploit-db.com/exploits/43138/ | Exploit Issue Tracking 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).
Unrestricted file upload vulnerability - Web Viewer 1.0.0.193 on Samsung SRN-1670D
Ruby
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2017-16524
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2017-16524
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 -
Initial Analysis by [email protected]
Nov. 29, 2017
Action Type Old Value New Value Added CVSS V2 (AV:N/AC:L/Au:S/C:P/I:P/A:P) Added CVSS V3 AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:H/A:H Changed Reference Type https://github.com/realistic-security/CVE-2017-16524 No Types Assigned https://github.com/realistic-security/CVE-2017-16524 Exploit, Issue Tracking, Third Party Advisory Changed Reference Type https://www.exploit-db.com/exploits/43138/ No Types Assigned https://www.exploit-db.com/exploits/43138/ Exploit, Issue Tracking, Third Party Advisory, VDB Entry Added CWE CWE-434 Added CPE Configuration AND OR *cpe:2.3:a:hanwhasecurity:web_viewer:1.0.0.193:*:*:*:*:*:*:* OR cpe:2.3:h:samsung:srn-1670d:-:*:*:*:*:*:*:* -
CVE Modified by [email protected]
Nov. 16, 2017
Action Type Old Value New Value Added Reference https://www.exploit-db.com/exploits/43138/ [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-2017-16524
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-2017-16524
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
50.83 }} 36.00%
score
0.97581
percentile