Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T132920C14B218D6A316B7D4D198203FAA31E2F31A810BDA071EED93950FC7D78FE516B6 |
|
CONTENT
ssdeep
|
384:DA0qoECEqEiEzunPAdqK3bip35HADVzXG:DbqonZHQAAdqyMADVz2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c94bb6b4e548d29a |
|
VISUAL
aHash
|
ff8998f0f9ffffff |
|
VISUAL
dHash
|
5979312373380301 |
|
VISUAL
wHash
|
bd08189089ff81ff |
|
VISUAL
colorHash
|
07007010000 |
|
VISUAL
cropResistant
|
5979312373380301,2756182d934e3918 |
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 44 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.