Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T129443BF8237513F8E14BD7D8EE656964366F30FEEB85C628C2D81F52A9028EC4C559C2 |
|
CONTENT
ssdeep
|
1536:kES6vE0ld0tNS19KpRx6uad07YAzet3SOYwUEGaAMktH5Oo/detISOxwUEfdARk8:9vE0leqwAswA9ubAJ4Xe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
acf352984b8f4b83 |
|
VISUAL
aHash
|
ffc3ffffffdfff00 |
|
VISUAL
dHash
|
4c9e6d67b736266e |
|
VISUAL
wHash
|
bfc3ffb30b031300 |
|
VISUAL
colorHash
|
07182000000 |
|
VISUAL
cropResistant
|
68964f6733b63666,0000000000000000 |
Victim enters username and password into fake login form. Credentials are captured via JavaScript and exfiltrated to attacker's server in real-time.
Malicious code is obfuscated using 183 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.