Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CCE1E7F9806874668B0347DDE6293ADF70BBA0EFEE491904A0E817B45FC4F5ADC0841A |
|
CONTENT
ssdeep
|
192:C5OEcZCBDzayZQ+RQlNhqEOJyIluortEtg8LZJ:XFaDzahMCNhqEOkIlNp8g8Lb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1393c3c3c3c3c3c |
|
VISUAL
aHash
|
81e7c7efefffffff |
|
VISUAL
dHash
|
1b1c0e1c1c000000 |
|
VISUAL
wHash
|
81c3c3c300383c3c |
|
VISUAL
colorHash
|
07e00010000 |
|
VISUAL
cropResistant
|
1b1c0e1c1c000000 |
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 6655 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.