Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11D51FF30110054EF4BC3BD83B4C27E0A94F3D8EBD66A68D490BD999E0FD5FE186D46A1 |
|
CONTENT
ssdeep
|
48:biKHcKLaGmipG5Gd/lwG1sZWXHh8rbUGHlm3Kf0d3Iw2mGUGrrHhfGCXXgjxsbDL:OqLLgsdb1sZohSdHlm3I0d3qXh+CXXg+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb3634c9639c9c63 |
|
VISUAL
aHash
|
00003c3c3c3c0000 |
|
VISUAL
dHash
|
0048717149713008 |
|
VISUAL
wHash
|
00003c3c3c3c0010 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
0048717149713008 |
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 141 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.