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Cisco WebVPN Panel - Detect

By kannthu

Informative
Vidoc logoVidoc Module
#panel#cisco#vpn
Description

What is the "Cisco WebVPN Panel - Detect?" module?

The "Cisco WebVPN Panel - Detect" module is designed to detect the presence of the Cisco WebVPN panel. This module focuses on identifying misconfigurations or vulnerabilities related to the Cisco WebVPN software. The severity of this module is classified as informative, meaning it provides valuable information but does not pose an immediate threat. The original author of this module is ricardomaia.

Impact

This module aims to identify the presence of the Cisco WebVPN panel, which can help in assessing the security posture of a system. By detecting the panel, it provides insights into potential misconfigurations or vulnerabilities that may exist in the WebVPN implementation.

How does the module work?

The "Cisco WebVPN Panel - Detect" module utilizes HTTP request templates and matching conditions to identify the presence of the Cisco WebVPN panel. It sends a GET request to the "/webvpn.html" path and applies specific matchers to determine if the panel is present.

The module uses two types of matchers:

    - Word Matcher: It searches for specific words in the response body, such as "CISCO," "AnyConnect," and "SSLVPN Service." If any of these words are found, it indicates the presence of the Cisco WebVPN panel. - Regex Matcher: It applies regular expressions to the response headers to identify patterns related to the WebVPN context and session. If any of the defined regex patterns match, it suggests the presence of the panel.

By combining these matchers, the module determines whether the Cisco WebVPN panel is detected or not.

For more information, you can refer to the Cisco Clientless SSL VPN and AnyConnect comparison.

Module preview

Concurrent Requests (1)
1. HTTP Request template
GET/webvpn.html
Matching conditions
word: CISCO, AnyConnect, SSLVPN Serviceand
regex: webvpncontext=00@.+, webvpn=
Passive global matcher
No matching conditions.
On match action
Report vulnerability