How I could have accessed all your private videos/photos saved inside your device without even…
https://infosecwriteups.com/how-i-could-have-accessed-all-your-private-videos-photos-saved-inside-your-device-without-even-1a7e455ddcc8?source=rss------bug_bounty-5

…Continue reading on InfoSec Write-ups » (https://infosecwriteups.com/how-i-could-have-accessed-all-your-private-videos-photos-saved-inside-your-device-without-even-1a7e455ddcc8?source=rss------bug_bounty-5)

How I could have accessed all your private videos/photos saved inside your device without even…

…Continue reading on InfoSec Write-ups »
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The Shellshock Bug

First discovered in 2014, the Shellshock bug has been a notorious little loophole in Unix-based systems for the past half-decade.Continue reading on Medium »
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Typodetect - Detect The Active Mutations Of Domains
http://www.kitploit.com/2021/06/typodetect-detect-active-mutations-of.html

This tool gives blue teams, SOC's, researchers and companies the ability to detect the active mutations of their domains, thus preventing the use of these domains in fraudulent activities, such as phishing (https://www.kitploit.com/search/label/Phishing) and smishing. For this, Typodetect allows the use of the latest available version of the TLDs (Top Level Domains) published on the IANA website, the validation of decentralized domains in Blockchain DNS and the malware reports in DoH (https://www.kitploit.com/search/label/DoH) services (DNS over HTTPS) . For the ease of the user, Typodetect delivers the report in JSON (https://www.kitploit.com/search/label/JSON) format by default, or in TXT format, depending on how the user selects and shows on the screen a summary of the mutations generated, the active domains and the reports detected with Malware (https://www.kitploit.com/search/label/Malware) or decentralized domains.
Installation
Clone this repository with: git clone https://github.com/Telefonica/typodetect Run setup for installation: python3 pip install -r requirements.txt
Running TypoDetect
Inside the TypoDetect directory: python3 typodetect.py -h usage: typodetect.py [-h] [-u UPDATE] [-t N_THREADS] [-d DOH_SERVER] [-o OUTPUT] domain

positional arguments:
domain specify domain to process

optional arguments:
-h, --help show this help message and exit
-u UPDATE, --update UPDATE
(Y/N) for update TLD's database (default:N)
-t N_THREADS, --threads N_THREADS
Number of threads for processing (default:5)
-d DOH_SERVER, --doh DOH_SERVER
Section DoH for use: [1] ElevenPaths (default) [2] Cloudfare
-o OUTPUT, --output OUTPUT
JSON or TXT, options of filetype (default:JSON) For a simple analysis: ">python3 typodetect.py For update IANA database and analysis: ">python3 typodetect.py -u y For more threads analysis: ">python3 typodetect.py -t For a different DoH (currently only has ElevenPaths o CloudFare) ">python3 typodetect.py -d 2 For create TXT report ">python3 typodetect.py -o TXT
Reports
Inside the reports directory, the report file is saved, by default in JSON, with the name of the analyzed domain and the date, for example: elevenpaths.com2021-01-26T18:20:10.34568.json The JSON report has the following structure for each active mutation detected: "domain": "A": [ip1, ip2, ...] "MX": [mx1, mx2, ...] } '>{ id:
"report_DoH" :
"domain":
"A": [ip1, ip2, ...]
"MX": [mx1, mx2, ...]
} The fields contain the following information: id: Integer id of mutation
"report_DoH": "" - Domain of Descentralised DNS
"Malware" - Domain reported as dangerous for DoH
"Good" - Domain reported as good for DoH
"domain": Mutation detected as active.
"A": IP's address of A type in DNS of the mutation.
"MX": IP's or CNAME of MX type in DNS of the mutation.

Download Typodetect (https://github.com/telefonica/typodetect)

Hacking on Medium
The art of cracks and keygens — Nicolausi

https://cdn-images-1.medium.com/max/1000/1*pWI01ILQaNviTvcokFfxZA.jpeg
Contains a decent amount of code, better seen in the original blog.

Continue reading on Medium »

Hacking on Medium
How I could have accessed all your private videos/photos saved inside your device without even…

https://cdn-images-1.medium.com/max/1500/1*CwoVCl12r6jJzPdolMonGQ.jpeg
…

Continue reading on InfoSec Write-ups »

Hacking on Medium
Cyber Security — A necessity of time?

https://cdn-images-1.medium.com/max/700/0*zqhcOB3uKQY0Hrmw
“Hey, you heard about the Air India Hack?”.

Continue reading on Medium »

KitPloit - PenTest Tools!
Typodetect - Detect The Active Mutations Of Domains

https://1.bp.blogspot.com/-SEsKTYK_GUQ/YLc1qISOJFI/AAAAAAAAXrs/o_PZ3P9gQ-cleYEMvHunLGfvDxoFdFNKACNcBGAsYHQ/w640-h292/domain.png
This tool gives blue teams, SOC's, researchers and companies the ability to detect the active mutations of their domains, thus preventing the use of these domains in fraudulent activities, such as phishing and smishing.

For this, Typodetect allows the use of the latest available version of the TLDs (Top Level Domains) published on the IANA website, the validation of decentralized domains in Blockchain DNS and the malware reports in DoH services (DNS over HTTPS) .

For the ease of the user, Typodetect delivers the report in JSON format by default, or in TXT format, depending on how the user selects and shows on the screen a summary of the mutations generated, the active domains and the reports detected with Malware or decentralized domains.
Installation

Clone this repository with:

git clone https://github.com/Telefonica/typodetect

Run setup for installation:

python3 pip install -r requirements.txt

Running TypoDetect

Inside the TypoDetect directory:

python3 typodetect.py -h

usage: typodetect.py [-h] [-u UPDATE] [-t N_THREADS] [-d DOH_SERVER] [-o OUTPUT] domain

positional arguments:
domain specify domain to process

optional arguments:
-h, --help show this help message and exit
-u UPDATE, --update UPDATE
(Y/N) for update TLD's database (default:N)
-t N_THREADS, --threads N_THREADS
Number of threads for processing (default:5)
-d DOH_SERVER, --doh DOH_SERVER
Section DoH for use: [1] ElevenPaths (default) [2] Cloudfare
-o OUTPUT, --output OUTPUT
JSON or TXT, options of filetype (default:JSON)

For a simple analysis:

python3 typodetect.py <domain

For update IANA database and analysis:

python3 typodetect.py -u y <domain

For more threads analysis:

python3 typodetect.py -t <number<domain

For a different DoH (currently only has ElevenPaths o CloudFare)

python3 typodetect.py -d 2 <domain

For create TXT report

python3 typodetect.py -o TXT <domain

Reports

Inside the reports directory, the report file is saved, by default in JSON, with the name of the analyzed domain and the date, for example:

elevenpaths.com2021-01-26T18:20:10.34568.json

The JSON report has the following structure for each active mutation detected:
<string"domain": <string"A": [ip1, ip2, ...] "MX": [mx1, mx2, ...] } ">{ id:
"report_DoH" : <string
"domain": <string
"A": [ip1, ip2, ...]
"MX": [mx1, mx2, ...]
}
The fields contain the following information:

id: Integer id of mutation
"report_DoH": "" - Domain of Descentralised DNS
"Malware" - Domain reported as dangerous for DoH
"Good" - Domain reported as good for DoH
"domain": Mutation detected as active.
"A": IP's address of A type in DNS of the mutation.
"MX": IP's or CNAME of MX type in DNS of the mutation.
Download Typodetect

The Shellshock Bug
https://bugbaseindia.medium.com/the-shellshock-bug-855587e4f857?source=rss------bug_bounty-5

First discovered in 2014, the Shellshock bug has been a notorious little loophole in Unix-based systems for the past half-decade.Continue reading on Medium » (https://bugbaseindia.medium.com/the-shellshock-bug-855587e4f857?source=rss------bug_bounty-5)

hacking: security in practice
A (long) list of victim organizations attacked by ransomware gangs

https://external-preview.redd.it/j-q4Dv0gpmWIcBkCy2cAD7cO2GuG06UJBUrfWn0rW68.jpg?width=640&crop=smart&auto=webp&s=003aac4a72b82e60989f96135d3943d5181a6885 submitted by /u/Kristrolls
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