Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100E228B4A230D335B1C24BE8DA6425287A5FE1DCD7C695B0E388AF55B0D6CECD5260CB |
|
CONTENT
ssdeep
|
384:Y7bPhOJegutTgRhiXkdvNTDhPhLxeAxeDWNW1Tp34PxeeJEmuW3AsyyRWoMd:Y7bPhOJeguohhPhleMeDGCSPxeeWmHzW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e03f331e4e870b78 |
|
VISUAL
aHash
|
004460f0f0f0f0e0 |
|
VISUAL
dHash
|
1c9c8a81a18484c1 |
|
VISUAL
wHash
|
006660f0f8fcfef0 |
|
VISUAL
colorHash
|
32e01000000 |
|
VISUAL
cropResistant
|
c0a1b086c6cc89d1,1c9c8a81a18484c1,32a6262e2e3c1eb2 |
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 76 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.