Cleaned some old references (#24)

* Cleaned some old references

* Removed minor version

Author: fgibertoni

docs/IntelOwl/installation.md

@@ -14,8 +14,8 @@ In some systems you could find pre-installed older versions. Please check this a
 <p class="admonition-title">Note</p>
 <ul>
 <li>The project uses public docker images that are available on <a href="https://hub.docker.com/repository/docker/intelowlproject/intelowl">Docker Hub</a></li>
-<li>IntelOwl is tested and supported to work in a Debian distro. More precisely we suggest using Ubuntu. Other Linux-based OS <i>should</i> work but that has not been tested much. It <i>may</i> also run on Windows, but that is not officially supported.</li>
-<li>IntelOwl does not support ARM at the moment. We'll fix this with the next v6.0.5 release
+<li>IntelOwl is tested and supported on a Debian-based distros. More precisely we develop and test on Ubuntu, so we suggest using it to have a similar environment in case of troubleshooting. Other Linux-based OS <i>should</i> work but that has not been tested much. It <i>may</i> also run on Windows, but that is not officially supported.</li>
+<li>IntelOwl does not support ARM architecture at the moment. You can try building your own local ARM image and test if everything is working. 
 <li>Before installing remember that you must comply with the <a href="https://github.com/certego/IntelOwl/blob/master/LICENSE">LICENSE</a> and the <a href="https://github.com/certego/IntelOwl/blob/master/.github/legal_notice.md">Legal Terms</a></li>
 </ul>
 </div>
@@ -74,7 +74,7 @@ These are our recommendations for dedicated deployments of IntelOwl:
 
 Please remember that every environment has its own peculiarities so these numbers must not be taken as the holy grail.
 
-What should be done is a comprehensive evaluation of the environment where the application will deployed.
+What should be done is a comprehensive evaluation of the environment where the application will be deployed.
 
 For more complex environments, a Docker Swarm / Kubernetes cluster is recommended.
 

docs/IntelOwl/introduction.md

@@ -14,7 +14,7 @@ Main features:
   - **connectors** that can be run to export data to external platforms (like MISP or OpenCTI)
   - **visualizers** that can be run to create custom visualizations of analyzers results
   - **playbooks** that are meant to make analysis easily repeatable
-- API REST written in Django and Python 3.9.
+- API REST written in Django and Python 3.11.
 - Built-in frontend client written in ReactJS, with **[certego-ui](https://github.com/certego/certego-ui)**: provides features such as dashboard, visualizations of analysis data, easy to use forms for requesting new analysis, etc.
 
 ## Publications and media