Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DC2F1306781093EB513C3B8B1E1BB59E2ADDB81D41BB22CF3EC81A22747D95CD67694 |
|
CONTENT
ssdeep
|
192:aGBFeps/MKK9bYKKcQGNgVZAgfS0ocKQXNHz2i5Ktf69qPgkX:d//MYqtNuZZLoc6jr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a3078dd8deccd864 |
|
VISUAL
aHash
|
3f070327277fffff |
|
VISUAL
dHash
|
f9cfceecccdccbf2 |
|
VISUAL
wHash
|
0f07030727273b7f |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
f9cfceecccdccbf2 |
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 13 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.