Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF133D709081997B05D7B2C0663A5B1A73E5E388CA6317096BFCC3AD0FDBDA4DD27A14 |
|
CONTENT
ssdeep
|
768:nNywPk44TgRnro7oioioKoCoioCoNot/eeeeeeeXeee/LFHi12uirQgF/PycyQTh:n4N44TgRnro7oioioKoCoioCoNot/eer |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c73ca5239c47cc72 |
|
VISUAL
aHash
|
6440f83c2c6020ff |
|
VISUAL
dHash
|
c484e861e8c840cd |
|
VISUAL
wHash
|
7e60f83c3c6020ff |
|
VISUAL
colorHash
|
30001009040 |
|
VISUAL
cropResistant
|
c84849414900504d,c484e861e8c840c9 |
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 27 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.