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hacking: security in practice
Offensive Security's Learn Fundamentals subscription - (Complete) beginner friendly?

Hi all,

Noob here. Checking to see if anyone has subscribed to Offensive Security's "Learn Fundamentals" course (https://www.offensive-security.com/fundamentals/), and if so, how beginner friendly it is exactly.

I've heard that it is meant for "brushing up" on fundamental skills needed, but as I don't think I have these skills in the first place (almost a complete beginner in CyberSec) I'm wondering if the cost of a subscription would be better spent elsewhere...

Thanks a lot!

submitted by /u/sk3llo
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hacking: security in practice
Is my Smart Bulb trying to hack into my Windows devices?

Today I was trying to connect to a VPN on Windows 10 and was having trouble. I looked in Event Viewer because the VPN dialog was only displaying a general message when it failed to connect.

After looking through the Application logs, I looked at the Security logs and saw some Audit Failures.

Well, looking at the details of those audit failures, the source was an IP on my network. When I tracked down which device it was, it ended up being a Smart LED bulb I have in my living room.

That seems very unusual to me, but I dont really know much about security audits in Windows. I noticed a couple other audit failures coming from my Google home and Vizio TV. From what I am able to find, the Audit Failure is a failed logon attempt. I don't know any other reason a network device would be attempting to access anything on my PC.

Am I just being paranoid?

submitted by /u/TwoCharacters
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Killing The Bear - Cybercrime repo, Threat Actors, Campaigns, Malware, IOCs
https://www.reddit.com/r/redteamsec/comments/v08tn1/killing_the_bear_cybercrime_repo_threat_actors/

​ Killing The Bear (https://preview.redd.it/i9lkuufice291.png?width=531&format=png&auto=webp&s=02c79e4e4687af832d8965924a81ac135a3da68b) Hi everyone! I want to share with you my new gitbook/repo about Threat Actors: Killing The Bear (https://killingthebear.jorgetesta.tech/). Very useful for SOC, CTI and Threat Hunting teams. In it you can find: - Threat Actors - Malware - Tools - TTPs - IOCs - Summary (executive) - Wallets - Timeline - Relationships - Etc... Yesterday I published the "Killnet" category, you can find it here: Killnet - Actor (https://killingthebear.jorgetesta.tech/killnet/summary) Gradually more categories are being added with more intel. I hope it will be useful to you or your team. Thank you! submitted by /u/J-Testa (https://www.reddit.com/user/J-Testa)
[link] (https://www.reddit.com/r/redteamsec/comments/v08tn1/killing_the_bear_cybercrime_repo_threat_actors/) [comments] (https://www.reddit.com/r/redteamsec/comments/v08tn1/killing_the_bear_cybercrime_repo_threat_actors/)

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Tool for discovering the origin host behind a reverse (https://www.kitploit.com/search/label/Reverse) proxy. Useful for bypassing (https://www.kitploit.com/search/label/Bypassing) WAFs and other reverse proxies. How does it work? This tool will first make a HTTP request to the hostname that you provide and store the response, then it will make a request to every IP address that you provide via HTTP (80) and HTTPS (443), with the Host header set to the original host. Each HTTP response is then compared to the original using the Levenshtein algorithm to determine similarity. If the response is similar, it will be deemed a match.
Usage Provide the list of IP addresses via stdin, and the original hostname via the -h option. For example: prips 93.184.216.0/24 | hakoriginfinder -h example.com
You may set the Levenshtein distance threshold with -l. The lower the number, the more similar the matches need to be for it to be considered a match, the default is 5. The number of threads may be set with -t, default is 32. The hostname is set with -h, there is no default. Output The output is 3 columns, separated by spaces. The first column is either "MATCH" or "NOMATCH" depending on whether the Levenshtein threshold was reached or not. The second column is the URL being teseted, and the third column is the Levenshtein score. Output example hakluke$ prips 1.1.1.0/24 | hakoriginfinder -h one.one.one.one
NOMATCH http://1.1.1.0 54366
NOMATCH http://1.1.1.30 54366
NOMATCH http://1.1.1.20 54366
NOMATCH http://1.1.1.4 54366
NOMATCH http://1.1.1.11 54366
NOMATCH http://1.1.1.5 54366
NOMATCH http://1.1.1.22 54366
NOMATCH http://1.1.1.13 54366
NOMATCH http://1.1.1.10 54366
NOMATCH http://1.1.1.25 54366
NOMATCH http://1.1.1.19 54366
... snipped for brevity ...
NOMATCH http://1.1.1.251 54366
NOMATCH http://1.1.1.248 54366
MATCH http://1.1.1.1 0
NOMATCH http://1.1.1.3 19567
NOMATCH http://1.1.1.2 19517
MATCH https://1.1.1.1 0
NOMATCH https://1.1.1.3 19534
NOMATCH https://1.1.1.2 19532
Installation Install golang, then run: go install github.com/hakluke/hakoriginfinder@latest


Download Hakoriginfinder (https://github.com/hakluke/hakoriginfinder)

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KitPloit - PenTest Tools!
Hakoriginfinder - Tool For Discovering The Origin Host Behind A Reverse Proxy. Useful For Bypassing Cloud WAFs!

https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiGaTtU1rZxmpX3ztLJIXP89nGuh_dUnTAF1aAGcxU1cHXi-KFYu_EfOB0FIj8WPecfoHaflMhgVixIc2_G74UtM-F4PkGOYP7taCNMXXfnuSm2vCsMe80FXEyfXCvRUVuQyIR1rPqzlvX7F4bQ72jUFn0_FGDf4_vBvkBELKhTof5ymZ9_HO99D7RK/w640-h330/hakoriginfinder.png
Tool for discovering the origin host behind a reverse proxy. Useful for bypassing WAFs and other reverse proxies.

How does it work?

This tool will first make a HTTP request to the hostname that you provide and store the response, then it will make a request to every IP address that you provide via HTTP (80) and HTTPS (443), with the Hostheader set to the original host. Each HTTP response is then compared to the original using the Levenshtein algorithm to determine similarity. If the response is similar, it will be deemed a match.
Usage

Provide the list of IP addresses via stdin, and the original hostname via the -h option. For example:

prips 93.184.216.0/24 | hakoriginfinder -h example.com


You may set the Levenshtein distance threshold with -l. The lower the number, the more similar the matches need to be for it to be considered a match, the default is 5.

The number of threads may be set with -t, default is 32.

The hostname is set with -h, there is no default.

Output

The output is 3 columns, separated by spaces. The first column is either "MATCH" or "NOMATCH" depending on whether the Levenshtein threshold was reached or not. The second column is the URL being teseted, and the third column is the Levenshtein score.

Output example

hakluke$ prips 1.1.1.0/24 | hakoriginfinder -h one.one.one.one
NOMATCH http://1.1.1.0 54366
NOMATCH http://1.1.1.30 54366
NOMATCH http://1.1.1.20 54366
NOMATCH http://1.1.1.4 54366
NOMATCH http://1.1.1.11 54366
NOMATCH http://1.1.1.5 54366
NOMATCH http://1.1.1.22 54366
NOMATCH http://1.1.1.13 54366
NOMATCH http://1.1.1.10 54366
NOMATCH http://1.1.1.25 54366
NOMATCH http://1.1.1.19 54366
... snipped for brevity ...
NOMATCH http://1.1.1.251 54366
NOMATCH http://1.1.1.248 54366
MATCH http://1.1.1.1 0
NOMATCH http://1.1.1.3 19567
NOMATCH http://1.1.1.2 19517
MATCH https://1.1.1.1 0
NOMATCH https://1.1.1.3 19534
NOMATCH https://1.1.1.2 19532


Installation

Install golang, then run:

go install github.com/hakluke/hakoriginfinder@latest

Download Hakoriginfinder