Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9A34CB47109B62756A343D6A0AA61037379121FC80E4C60B364FE9F66FCCD6A027FD9 |
|
CONTENT
ssdeep
|
1536:W9QPFtwKBJT78KrSVxuP3eflUuRNka2wblHbJLwLIz9GguGOjjRnK:W9qtwKBd3CrX2wd9W/guGO4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e44e95013fb2ea9c |
|
VISUAL
aHash
|
0200f08000e7ffff |
|
VISUAL
dHash
|
66e66505c2cecc8c |
|
VISUAL
wHash
|
0210f0e040e7ffff |
|
VISUAL
colorHash
|
110010001c0 |
|
VISUAL
cropResistant
|
111d4c54564e1961,78c6b63d4b9acb72,2d2ab2b2b6d25359,7c7c6a6e6c4b594d,b4bcb4343cb8b8ec,66e66505c2cecc8c,23777346cc6c2e2b |
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 206540 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.