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πŸ™ OpenSquat

OpenSquat β€” это ΠΏΠΎΠ»Π΅Π·Π½Ρ‹ΠΉ инструмСнт с ΠΎΡ‚ΠΊΡ€Ρ‹Ρ‚Ρ‹ΠΌ исходным ΠΊΠΎΠ΄ΠΎΠΌ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ выявляСт ΡƒΠ³Ρ€ΠΎΠ·Ρ‹ кибСрсквоттинга для ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ ΠΈΠ»ΠΈ Π΄ΠΎΠΌΠ΅Π½ΠΎΠ².

OpenSquat ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΈΠ²Π°Π΅Ρ‚ Ρ‚Π°ΠΊΠΈΠ΅ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ, ΠΊΠ°ΠΊ автоматичСскоС ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ Π΄ΠΎΠΌΠ΅Π½Π°, ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ΠΈΠ΅ Ρ„ΠΈΡˆΠΈΠ½Π³ΠΎΠ²ΠΎΠ³ΠΎ Π΄ΠΎΠΌΠ΅Π½Π°, подсчСт схоТСсти слов, ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΡŽ с Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ слуТбами, Ρ‚Π°ΠΊΠΈΠΌΠΈ ΠΊΠ°ΠΊ VirusTotal, Quad9 DNS ΠΈ Π΅Ρ‰Π΅ ΠΌΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Π΅Π·Π½Ρ‹Ρ… Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΉ.

git clone https://github.com/atenreiro/opensquat

pip install -r requirements.txt

ΠŸΡ€ΠΈΠΌΠ΅Ρ€ использования:

# Lazy run with default options
python opensquat.py

# for all the options
python opensquat.py -h

# Search for generic terms used in phishing campaigns (can lead to false-positives)
python opensquat.py -k generic.txt

# With DNS validation (quad9)
python opensquat.py --dns

# Subdomain search
python opensquat.py --subdomains

# Check for domains with open ports 80/443
python opensquat.py --portcheck

# With Phishing validation (Phishing Database)
python opensquat.py --phishing phish_results.txt

# Save output as JSON
python opensquat.py -o example.json -t json

# Save output as CSV
python opensquat.py -o example.csv -t csv

# Conduct a certificate transparency (ct) hunt
python opensquat.py --ct

# Period search - registrations from the last month (default: day)
python opensquat.py -p month

# Tweak confidence level. The lower values bring more false positives
# (0: very high, 1: high (default), 2: medium, 3: low, 4: very low
python opensquat.py -c 2

# All validations options
python opensquat.py --phishing phishing_domains.txt --dns --ct --subdomains --portcheck


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πŸ™ OpenSquat

OpenSquat β€” это ΠΏΠΎΠ»Π΅Π·Π½Ρ‹ΠΉ инструмСнт с ΠΎΡ‚ΠΊΡ€Ρ‹Ρ‚Ρ‹ΠΌ исходным ΠΊΠΎΠ΄ΠΎΠΌ, ΠΊΠΎΡ‚ΠΎΡ€Ρ‹ΠΉ выявляСт ΡƒΠ³Ρ€ΠΎΠ·Ρ‹ кибСрсквоттинга для ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΉ ΠΈΠ»ΠΈ Π΄ΠΎΠΌΠ΅Π½ΠΎΠ².

OpenSquat ΠΏΠΎΠ΄Π΄Π΅Ρ€ΠΆΠΈΠ²Π°Π΅Ρ‚ Ρ‚Π°ΠΊΠΈΠ΅ Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΈ, ΠΊΠ°ΠΊ автоматичСскоС ΠΎΠ±Π½ΠΎΠ²Π»Π΅Π½ΠΈΠ΅ Π΄ΠΎΠΌΠ΅Π½Π°, ΠΎΠ±Π½Π°Ρ€ΡƒΠΆΠ΅Π½ΠΈΠ΅ Ρ„ΠΈΡˆΠΈΠ½Π³ΠΎΠ²ΠΎΠ³ΠΎ Π΄ΠΎΠΌΠ΅Π½Π°, подсчСт схоТСсти слов, ΠΈΠ½Ρ‚Π΅Π³Ρ€Π°Ρ†ΠΈΡŽ с Π΄Ρ€ΡƒΠ³ΠΈΠΌΠΈ слуТбами, Ρ‚Π°ΠΊΠΈΠΌΠΈ ΠΊΠ°ΠΊ VirusTotal, Quad9 DNS ΠΈ Π΅Ρ‰Π΅ ΠΌΠ½ΠΎΠ³ΠΎ ΠΏΠΎΠ»Π΅Π·Π½Ρ‹Ρ… Ρ„ΡƒΠ½ΠΊΡ†ΠΈΠΉ.

git clone https://github.com/atenreiro/opensquat

pip install -r requirements.txt

ΠŸΡ€ΠΈΠΌΠ΅Ρ€ использования:

# Lazy run with default options
python opensquat.py

# for all the options
python opensquat.py -h

# Search for generic terms used in phishing campaigns (can lead to false-positives)
python opensquat.py -k generic.txt

# With DNS validation (quad9)
python opensquat.py --dns

# Subdomain search
python opensquat.py --subdomains

# Check for domains with open ports 80/443
python opensquat.py --portcheck

# With Phishing validation (Phishing Database)
python opensquat.py --phishing phish_results.txt

# Save output as JSON
python opensquat.py -o example.json -t json

# Save output as CSV
python opensquat.py -o example.csv -t csv

# Conduct a certificate transparency (ct) hunt
python opensquat.py --ct

# Period search - registrations from the last month (default: day)
python opensquat.py -p month

# Tweak confidence level. The lower values bring more false positives
# (0: very high, 1: high (default), 2: medium, 3: low, 4: very low
python opensquat.py -c 2

# All validations options
python opensquat.py --phishing phishing_domains.txt --dns --ct --subdomains --portcheck


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β–ͺDocs

@github_code

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In many cases, the content resembled that of the marketplaces found on the dark web, a group of hidden websites that are popular among hackers and accessed using specific anonymising software.β€œWe have recently been witnessing a 100 per cent-plus rise in Telegram usage by cybercriminals,” said Tal Samra, cyber threat analyst at Cyberint.The rise in nefarious activity comes as users flocked to the encrypted chat app earlier this year after changes to the privacy policy of Facebook-owned rival WhatsApp prompted many to seek out alternatives.Github from us


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