Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T116530071D0B2563110BF72CAE2657B1A96A3CB07CECA3BF586D983094FD3C55AC57248 |
|
CONTENT
ssdeep
|
1536:QZhoyErxFRk/oI9rcPjchaAhj8ucxkhh3bhhzmv:Q+xlf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9c7c69a8619c51e |
|
VISUAL
aHash
|
ffc3c3c3c3c1c1df |
|
VISUAL
dHash
|
0b0f0f0f1f1b3b3b |
|
VISUAL
wHash
|
ffc3c3c381c1c1c3 |
|
VISUAL
colorHash
|
0f200030001 |
|
VISUAL
cropResistant
|
0b0f0f0f1f1b3b3b,0d0b1b5e543a586c |
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.