Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1876351B1C596217B02278EE5B4716B4F72D3C31DDE638A0157FC879D6FEAC90EA0148A |
|
CONTENT
ssdeep
|
1536:OKAVoLOm6cUIKEJGvVPO3hBkAp+b1hmkbFk:OefR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb638a94c43e75b0 |
|
VISUAL
aHash
|
ff8181c1ff8e8fff |
|
VISUAL
dHash
|
6d0b1b0b263a3813 |
|
VISUAL
wHash
|
f7818181878e8fcf |
|
VISUAL
colorHash
|
07c01008000 |
|
VISUAL
cropResistant
|
6d0b1b0b263a3813 |
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 46 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.