Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1649375707152466B429783F1F3705EA9A298E345CE2389DA63EC435A3FCBCE4DD53288 |
|
CONTENT
ssdeep
|
1536:/3MD6sQVh4EMYdXe4KT3YMuaFVbml1tK3T/Mdfy:zzpp6yO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fb0f0c3075cf684a |
|
VISUAL
aHash
|
000798fec4cffffb |
|
VISUAL
dHash
|
966c733a9c9cb133 |
|
VISUAL
wHash
|
0007988ec4cffff1 |
|
VISUAL
colorHash
|
060030000c0 |
|
VISUAL
cropResistant
|
8e7973189d9c6133,55556b1aa2a6346e,6900f8f801793006,721048d1b3261c77,271f5aaa89e9797f |
Fake Bitcoin Penguins site positioned to capture victims through SEO tactics, typosquatting, or paid advertising. Serves as entry point for multi-stage attacks including credential theft and malware distribution.
Malicious code is obfuscated using 1 techniques to evade detection by security scanners and make reverse engineering more difficult.