CVE-2023-49950
Logpoint SIEM Cross-Site Scripting Vulnerability
Description
The Jinja templating in Logpoint SIEM 6.10.0 through 7.x before 7.3.0 does not correctly sanitize log data being displayed when using a custom Jinja template in the Alert view. A remote attacker can craft a cross-site scripting (XSS) payload and send it to any system or device that sends logs to the SIEM. If an alert is created, the payload will execute upon the alert data being viewed with that template, which can lead to sensitive data disclosure.
INFO
Published Date :
Feb. 3, 2024, 9:15 a.m.
Last Modified :
Feb. 13, 2024, 12:42 a.m.
Source :
[email protected]
Remotely Exploitable :
Yes !
Impact Score :
2.7
Exploitability Score :
2.3
Public PoC/Exploit Available at Github
CVE-2023-49950 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-2023-49950.
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).
A write-up detailing CVE-2023-49950. Affects Logpoint SIEM v6.1.0-v7.3.0
Results are limited to the first 15 repositories due to potential performance issues.
The following list is the news that have been mention
CVE-2023-49950 vulnerability anywhere in the article.
The following table lists the changes that have been made to the
CVE-2023-49950 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.
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CVE Modified by [email protected]
May. 14, 2024
Action Type Old Value New Value -
Initial Analysis by [email protected]
Feb. 13, 2024
Action Type Old Value New Value Added CVSS V3.1 NIST AV:N/AC:L/PR:L/UI:R/S:C/C:L/I:L/A:N Changed Reference Type https://github.com/shrikeinfosec/cve-2023-49950/blob/main/cve-2023-49950.md No Types Assigned https://github.com/shrikeinfosec/cve-2023-49950/blob/main/cve-2023-49950.md Exploit Changed Reference Type https://servicedesk.logpoint.com/hc/en-us/articles/14124495377437-Stored-XSS-Vulnerability-in-Alerts-via-Log-Injection No Types Assigned https://servicedesk.logpoint.com/hc/en-us/articles/14124495377437-Stored-XSS-Vulnerability-in-Alerts-via-Log-Injection Vendor Advisory Added CWE NIST CWE-79 Added CPE Configuration OR *cpe:2.3:a:logpoint:siem:*:*:*:*:*:*:*:* versions from (including) 6.10.0 up to (excluding) 7.3.0 -
CVE Received by [email protected]
Feb. 03, 2024
Action Type Old Value New Value Added Description The Jinja templating in Logpoint SIEM 6.10.0 through 7.x before 7.3.0 does not correctly sanitize log data being displayed when using a custom Jinja template in the Alert view. A remote attacker can craft a cross-site scripting (XSS) payload and send it to any system or device that sends logs to the SIEM. If an alert is created, the payload will execute upon the alert data being viewed with that template, which can lead to sensitive data disclosure. Added Reference MITRE https://servicedesk.logpoint.com/hc/en-us/articles/14124495377437-Stored-XSS-Vulnerability-in-Alerts-via-Log-Injection [No types assigned] Added Reference MITRE https://github.com/shrikeinfosec/cve-2023-49950/blob/main/cve-2023-49950.md [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-2023-49950 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-2023-49950
weaknesses.
Exploit Prediction
EPSS is a daily estimate of the probability of exploitation activity being observed over the next 30 days.
0.05 }} 0.00%
score
0.17343
percentile