Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T191426822124C543E0BA38AC4BD96F134997AF278F1275017FF9C202615D2FE2FA76D96 |
|
CONTENT
ssdeep
|
192:p1xw2VJGVrIZEOZE9sKQWZ6PZ67+w9vKRuJfYaJTC9/K:GsHE2E6w6B67n9rfYaJ+hK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc3333ec88cbcc |
|
VISUAL
aHash
|
ff183c1818000000 |
|
VISUAL
dHash
|
b2717030b62815b2 |
|
VISUAL
wHash
|
ffffbd181818005a |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
b2717030b62815b2 |
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 14 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.