Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B6352B1C596317B02278ED5B4716B4FB2D3C31DDE638A1157FC879D6BEAC90EA0048A |
|
CONTENT
ssdeep
|
1536:hjAz/LOm6cVIKEJGvVPO3hukAp+b1hmkbEay:h6fn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf628696c0197daa |
|
VISUAL
aHash
|
f78181c9ff8e8fff |
|
VISUAL
dHash
|
240f1b1b6e3a3813 |
|
VISUAL
wHash
|
f7818181a78e8f8f |
|
VISUAL
colorHash
|
07e00008000 |
|
VISUAL
cropResistant
|
240f1b1b6e3a3813 |
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 43 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.