Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T107A1A82152151D1CB217D184F6A2EB2A6226C346E70D053CD6FA21BBE2CEDF4D8372EC |
|
CONTENT
ssdeep
|
96:aZOAJxIJu6soJgl4vuQ/AhgBG2MfKBYs893cWwZTq7:az0uoJVGQ4xPKBwBcWt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88f93642dcbd8972 |
|
VISUAL
aHash
|
1f073f3f3c180000 |
|
VISUAL
dHash
|
f3cfb3b2b0f3cefe |
|
VISUAL
wHash
|
3f3f7f7f3c180000 |
|
VISUAL
colorHash
|
010060000c0 |
|
VISUAL
cropResistant
|
8e8eb2ba803333a2,f3cfb3b2b0f3cefe |
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 64 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.