Evader tool

Please note that this is not about bypassing web application firewalls WAF which protect a web server but about bypassing firewalls which should protect the client browser. It is also not about bypassing URL filters. The following tests try to transfer the EICAR test virus to you using differently shaped responses of the web server. This official test virus should be detected by any antivirus solution but does not do any harm. Before you report any problems to your firewall vendor please read the section about false positives and verify that the detected evasion is really possible.

Disclaimer This tool was developed and the evasions detected during my work at the research project APT-Sweeper. In this project we research new ways to protect against attacks. This includes analysis were current products fail in order to improve the situation. This research project is funded by the german IT-Security company genua gmbh and by the german ministry of education and research.

Intro Vendors of current perimeter firewalls i. They claim to use advanced threat protection mechanism, cloud intelligence and various other buzzwords in order to protect the user. But, lots of these firewalls fail already at extracting the payload properly from the HTTP connection and thus forward the wrong data to their malware detection for analysis.

This means of course that the malware gets not detected and blocked but will instead be passed to the user.

HTTP Evader is designed to help both users and firewall vendors to detect bypasses at the HTTP application level in an easy way and give the vendors the help and motivation to fix these problems in order to protect their users. What makes these attacks here so dangerous Firewall bypasses at the HTTP level are dangerous not only because malware can be passed to the user but also because they often leave no traces and thus get completely unnoticed. If one has a look at the source code of current IDS solutions like the commonly used Snort , Bro or Suricata one can see that they mostly assume that the attacker uses common, standard conforming HTTP responses and will treat the input accordingly.

That is they will pick the parts from the HTTP response which they can easily understand and will usually silently ignore the rest. Experiences with commercial products show that they often blindly trust the HTTP layer in a similar way. While HTTP Evader has no relation to Evader by McAfee it fits their description for Advanced Evasion Techniques because lots of products have problems detecting these evasion, even if the evasion by themselves are trivially to create for an attacker.

It uses the EICAR test virus as this official test virus should be detected by all antivirus solutions as bad but is nevertheless harmless. Some of these responses are invalid, some or valid but strange or rarely used and some are typical responses any web server provides. Bypasses of the firewall are often possible because the interpretation of such responses differs between browser and firewall and thus the firewall sees and analyzes different data than the browser, that is we have a Semantic Gap.

A custom web server is needed since some of the responses would be sanitized by the common web servers before sending them to the client and thus would not have the desired effect.

Hiding malware in plain sight from online scanners. To start the test simply point your browser to the test site and start the "Bulk test with virus payload". The new tool, called Suspicious User Detection, will flag "likely" or "possible" channel ban evaders so that creators and moderators of those channels can decide whether to take action. Twitch has been under pressure from users to combat abuses on its site, including targeted harassment and so-called hate raids where streamers' chats are flooded with harassing messages.

The platform, which is popular with video gamers, said it was launching the tool in response to user feedback on the need for ways to better combat ban evaders. Huffman said the machine learning tool, which Twitch has been working on for several months, detects certain types of user behavior and characteristics of accounts to flag potential ban evaders. The tool will be turned on by default for all channels but can be adjusted or deactivated, Twitch said.

Evader runs in both virtual and physical environments. It includes two static exploits and a controlled set of dynamic evasions and it's immediately obvious whether or not your network security device is protecting against evasions.

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