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hacking: security in practice
Decrypting an encrypted PDF without password?

Hello all, I have some university notes from a course I took years back that I would like to revisit for a project that I' m working on, but I have forgotten the password. Many of the online methods require entering the original password in order to remove pretection from the PDF. Also many sources suggested using John the Ripper, but I;'m not that tech-savvy in that area. Is there any other way to address this issue more easily?

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Deep Web
Search for a video

Heard that a video was on the dark web, somewhere, depicting a murder which entailed a guy strapped down in a tree house and stabbed a bunch of times. Anybody help?

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Nginxpwner - Tool to look for common Nginx misconfigurations and vulnerabilities

Nginxpwner is a simple tool to look for common Nginx misconfigurations and vulnerabilities.Install: cd /optgit clone https://github.com/stark0de/nginxpwnercd nginxpwnerchmod +x install.sh./install.sh Usage: Target tab in Burp, select host, right click, copy all URLs in this host, copy to a filecat urllist | unfurl paths | cut -d"/" -f2-3 | sort -u > /tmp/pathlist Or get the list of paths you already discovered in the application in some other way. Note: the paths should not start with /Finally:python3 nginxpwner.py https://example.com /tmp/pathlist Notes: It actually checks for: -Gets Ngnix version and gets its possible exploits using searchsploit and tells if it is outdated -Throws a wordlist specific to Nginx via gobuster -Checks if it is vulnerable to CRLF via a common misconfiguration of using $uri in redirects -Checks for CRLF in all of the paths provided -Checks if the PURGE HTTP method is available from the outside -Checks for variable leakage misconfiguration -Checks for path traversal vulnerabilities via merge_slashes set to off -Tests for differences in the length of requests when using hop-by-hop headers (ex: X-Forwarded-Host) -Uses Kyubi to test for path traversal vulnerabilities via misconfigured alias -Tests for 401/403 bypass using X-Accel-Redirect -Shows the payload to check for Raw backend reading response misconfiguration -Checks if the site uses PHP and suggests some nginx-specific tests for PHP sites -Tests for the common integer overflow vulnerability in Nginx's range filter module (CVE-2017-7529) The tool uses the Server header in the response to do some of the tests. There are other CMS and so which are built on Nginx like Centminmod, OpenResty, Pantheon or Tengine for example which don't return that header. In that case please use nginx-pwner-no-server-header.py with the same parameters than the other script Also, for the exploit search to run correctly you should do: searchsploit -u in Kali from time to time The tool does not check for web cache poisoning/deception vulnerabilities nor request smuggling, you should test that with specific tools for those vulnerabilities. NginxPwner is mainly focused in misconfigurations developers may have introduced in the nginx.conf without being aware of them. Credit to shibli2700 for his awesome tool Kyubi https://github.com/shibli2700/Kyubi and to all the contributors of gobuster. Credits also to Detectify (which actually discovered many of this misconfigurations in NGINX) Download Nginxpwner
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Nginxpwner - Tool to look for common Nginx misconfigurations and vulnerabilities

https://1.bp.blogspot.com/-Dttz0B-9i6E/YIxZwJFPPBI/AAAAAAAAWCQ/B1twiYSSfHYygiShhLZqejH7f8nB1Nr5ACNcBGAsYHQ/w640-h218/nginxpwner_1.png
Nginxpwner is a simple tool to look for common Nginx misconfigurations and vulnerabilities.
Install:
cd /opt
git clone https://github.com/stark0de/nginxpwner
cd nginxpwner
chmod +x install.sh
./install.sh

Usage:
Target tab in Burp, select host, right click, copy all URLs in this host, copy to a file

cat urllist | unfurl paths | cut -d"/" -f2-3 | sort -u > /tmp/pathlist

Or get the list of paths you already discovered in the application in some other way. Note: the paths should not start with /

Finally:

python3 nginxpwner.py https://example.com /tmp/pathlist

Notes:

It actually checks for:

-Gets Ngnix version and gets its possible exploits using searchsploit and tells if it is outdated

-Throws a wordlist specific to Nginx via gobuster

-Checks if it is vulnerable to CRLF via a common misconfiguration of using $uri in redirects

-Checks for CRLF in all of the paths provided

-Checks if the PURGE HTTP method is available from the outside

-Checks for variable leakage misconfiguration

-Checks for path traversal vulnerabilities via merge_slashes set to off

-Tests for differences in the length of requests when using hop-by-hop headers (ex: X-Forwarded-Host)

-Uses Kyubi to test for path traversal vulnerabilities via misconfigured alias

-Tests for 401/403 bypass using X-Accel-Redirect

-Shows the payload to check for Raw backend reading response misconfiguration

-Checks if the site uses PHP and suggests some nginx-specific tests for PHP sites

-Tests for the common integer overflow vulnerability in Nginx's range filter module (CVE-2017-7529)

The tool uses the Server header in the response to do some of the tests. There are other CMS and so which are built on Nginx like Centminmod, OpenResty, Pantheon or Tengine for example which don't return that header. In that case please use nginx-pwner-no-server-header.py with the same parameters than the other script

Also, for the exploit search to run correctly you should do: searchsploit -u in Kali from time to time

The tool does not check for web cache poisoning/deception vulnerabilities nor request smuggling, you should test that with specific tools for those vulnerabilities. NginxPwner is mainly focused in misconfigurations developers may have introduced in the nginx.conf without being aware of them.

Credit to shibli2700 for his awesome tool Kyubi https://github.com/shibli2700/Kyubi and to all the contributors of gobuster. Credits also to Detectify (which actually discovered many of this misconfigurations in NGINX)
Download Nginxpwner

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hacking: security in practice
Best Raspberry pi to make tools?

Hi!

So, I got serious in the field a few months ago (cybersecurity) and I want to learn a little of everything and get my hands in things.

Raspberry Pi caught my attention and I did a lot of research but I failed in finding a post or something related to what type of Raspberry Pi should someone with these intentions choose.

I want to know if for example, a Raspberry Pi zero is already enough for pentesting tools and actually better because of the size or if I will need something with more power like a Raspberry pi 3,4.

I hope you guys can help! Thanks in advance

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hacking: security in practice
Computer science student. Just figured out what I want to do with my degree. Hacking.

I’ve been a computer science student for 2 years now and I’m looking at career paths. Hacking seems the most interesting by far. What are some first steps I should take to start hacking more professionally? All I’ve got right now is a little virus that stickbugs you on a random mouse click. White hat hacking is the primary goal BUT I would like to be able to play around a little bit in more creative ways. Nothing illegal, I’m just trying to make some projects for a portfolio

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hacking: security in practice
Arlo exploit

I'm not a "hacker" by trade. I have an Arlo camera system on my house, and I've always been interested in wifi vulnerabilities. I recently purchased a USB based wifi deauther from maltronics. I also purchased an esp8266 board with hopes of utilizing a gui from https://github.com/SpacehuhnTech/esp8266_deauther , but I haven't made it that far in practice yet.

I was able to deauthenticate a hotspot from a cellphone to my cellphone using the maltronics deauther. I couldn't deauth my AP though, and I assume that it's because it just rolls to the 5ghz channels. That said, my Arlo's are older models that only operate on the 2.4 range, yet I wasn't able to interrupt them.

Does this indicate that the Arlo system is immune to this kind of attack, or should I be trying other vignettes? Are there any other vulnerabilities to this wifi based family of cameras that you're aware of? Any suggestions on the 5ghz arena?

Any other concerns with arlo/nest/ring that should force me to hard wired?

Thanks in advance!

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Complete Guide to Data Science Applications with Streamlit

Complete Guide to Data Science Applications with Streamlit
Learn how to build and deploy data science applications in Python
What you’ll learn

Complete Guide to Data Science Applications with Streamlit
*

Building Data Applications with Streamlit
*

Integrating Matptlotlib & Seaborn in Streamlit
*

Plotly Visualizations in Streamlit
*

Authenticating Streamlit Applications
*

Deploying Streamlit Applications
*

Using Streamlit Components
*

Altair Visualizations in Streamlit
Requirements

*

Basic Python Programming, however, a Python crash course is included
Description
Analyzing data and building machine learning models is one thing. Packaging these analyses and models such that they are sharable is a different ball game altogether.

This course aims at teaching you the fastest and easiest way to build and share data applications using Streamlit. You don’t need any experience in building front-end applications for this. Here are some of the things you can expect to cover in this course:

* Python Crash Course
* NumPy Crash Course
* Introduction to Streamlit
* Integrating Matplotlit and Seaborn in Streamlit
* Using Altair and Vega-Lite in Streamlit
* Understand all Streamlit Widgets
* Upload and Process Files
* Build an Image Processing Application
* Develop a Natural Language Processing Application
* Integrate Maps with Streamlit
* Implement Plotly Graphs
* Authenticate Your Applications
* Laying Out your Application in Streamlit
* Developing with Streamlit Components
* Deploying Data Applications

At the end of the course, you will have built several applications that you can include in your data science portfolio. You will also have a new skill to add to your resume.

The course also comes with a 30-day money-back guarantee. Enroll now and if you don’t like it you will get your money back no questions asked.
Who this course is for:

* Individuals interested in building data science and machine learning applications in Python
*
Last updated 12/2020
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Content From: https://www.udemy.com/course/streamlit/
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