Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182E2D674A601416713BB99D1F6617F1F72D7F30F800A8546ABBCD14A2FD3CAABB21162 |
|
CONTENT
ssdeep
|
768:2yVI64u4JRPDTV/FQNyFrDRFZat6ZlxOsqMx4:2yVI64u4JRPDTV/FQNyFrDRFZatalxOT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccccccc66666566 |
|
VISUAL
aHash
|
3c3c180018181810 |
|
VISUAL
dHash
|
32b2322032323220 |
|
VISUAL
wHash
|
3c3c3c383c3c3c3c |
|
VISUAL
colorHash
|
072080082c0 |
|
VISUAL
cropResistant
|
32b2322032323220 |
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 335 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.