Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182B33C703619B97A26B343E7609A1603B279522FC40F4C30B365ED9967ACCCBA127FD5 |
|
CONTENT
ssdeep
|
1536:LA1BWY3f3KXFfbsQmlo2h2wV9LHd8tVPTMn57Bdluq++iX8z:QbiXjUMAL98n0dH++v |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0e31e3c1f398ce1 |
|
VISUAL
aHash
|
82e0f06646404054 |
|
VISUAL
dHash
|
32c9cadc889892a4 |
|
VISUAL
wHash
|
dae0f06e6e40607f |
|
VISUAL
colorHash
|
38001006040 |
|
VISUAL
cropResistant
|
6d2a62ecec22024c,ce36373636373694,b22b2b636b6b6b73,32c9cadc889892a4 |
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 130 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.