Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13A621A7AB22412B44A4343EEFF2722E9F11341AA96525B9CD734821CB2D5DFEC825DC6 |
|
CONTENT
ssdeep
|
384:QYogXXxpm3EqE/KLpXfxHxrs5smMpBZ7eg/B:Vo+XKNlfZ1m4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95aa55aad5aa55a8 |
|
VISUAL
aHash
|
3f07332f7f1f0f3e |
|
VISUAL
dHash
|
6dcd4769d63e7d7a |
|
VISUAL
wHash
|
130733073f0f0f3e |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
6dcd4769d63e7d7a |
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 486 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.