CVE-2020-15873
LibreNMS SQL Injection Vulnerability
Description
In LibreNMS before 1.65.1, an authenticated attacker can achieve SQL Injection via the customoid.inc.php device_id POST parameter to ajax_form.php.
INFO
Published Date :
July 21, 2020, 5:15 p.m.
Last Modified :
July 23, 2020, 2:17 p.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
3.6
Exploitability Score :
2.8
Public PoC/Exploit Available at Github
CVE-2020-15873 has a 4 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-2020-15873
.
URL | Resource |
---|---|
https://community.librenms.org/c/announcements | Release Notes Vendor Advisory |
https://github.com/librenms/librenms/commit/8f3a29cde5bbd8608f9b42923a7d7e2598bcac4e | Patch Third Party Advisory |
https://github.com/librenms/librenms/compare/1.65...1.65.1 | Third Party Advisory |
https://github.com/librenms/librenms/pull/11923 | Patch Third Party Advisory |
https://research.loginsoft.com/bugs/blind-sql-injection-in-librenms/ | Exploit Third Party 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
None
None
Proof of Concept of CVE-2020-15873 - Blind SQL Injection in Librenms < v1.65.1
Python Shell
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2020-15873
vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2020-15873
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]
Jul. 23, 2020
Action Type Old Value New Value Added CVSS V2 NIST (AV:N/AC:L/Au:S/C:P/I:N/A:N) Added CVSS V3.1 NIST AV:N/AC:L/PR:L/UI:N/S:U/C:H/I:N/A:N Changed Reference Type https://community.librenms.org/c/announcements No Types Assigned https://community.librenms.org/c/announcements Release Notes, Vendor Advisory Changed Reference Type https://github.com/librenms/librenms/commit/8f3a29cde5bbd8608f9b42923a7d7e2598bcac4e No Types Assigned https://github.com/librenms/librenms/commit/8f3a29cde5bbd8608f9b42923a7d7e2598bcac4e Patch, Third Party Advisory Changed Reference Type https://github.com/librenms/librenms/compare/1.65...1.65.1 No Types Assigned https://github.com/librenms/librenms/compare/1.65...1.65.1 Third Party Advisory Changed Reference Type https://github.com/librenms/librenms/pull/11923 No Types Assigned https://github.com/librenms/librenms/pull/11923 Patch, Third Party Advisory Changed Reference Type https://research.loginsoft.com/bugs/blind-sql-injection-in-librenms/ No Types Assigned https://research.loginsoft.com/bugs/blind-sql-injection-in-librenms/ Exploit, Third Party Advisory Added CWE NIST CWE-89 Added CPE Configuration OR *cpe:2.3:a:librenms:librenms:*:*:*:*:*:*:*:* versions up to (excluding) 1.65.1
CWE - Common Weakness Enumeration
While CVE identifies
specific instances of vulnerabilities, CWE categorizes the common flaws or
weaknesses that can lead to vulnerabilities. CVE-2020-15873
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-2020-15873
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.10 }} 0.00%
score
0.39791
percentile