Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T145F13132C04404BF21325EBBFAACB7AAD097962D8DB0D81085744F6DDAFAFD49726147 |
|
CONTENT
ssdeep
|
192:+y6+bsTzLHEHETrtU8akYxtHMuuUEg399AF2h8qM8UjLuS0miYtu6OgvNkinweIi:1J/c9znw5LNCXViF09j |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13b714e4e664e64 |
|
VISUAL
aHash
|
00cfcfffffffc3ff |
|
VISUAL
dHash
|
1e181e1e22020e06 |
|
VISUAL
wHash
|
00c3c3c3dbdbc3c2 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
9e1e1e1a22060e22,80404040202000c0 |
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 404 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.