Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BA12A830A0650D2EA22B95D1F4703B5930B7E70FCA5D5D68B2FD02EC5FE2DD4A81B5A2 |
|
CONTENT
ssdeep
|
96:PT9oMtRwpD9XDJkvtYkzGn6UyQn58yYwWYdYsYNjZXu/4vUwCq7mVTeSF/:Ph18pD9XNkvtBK6bm/4vRuKw/ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b43279cd861b2b4d |
|
VISUAL
aHash
|
04c60777b7bb1800 |
|
VISUAL
dHash
|
8c8c4ecc66633155 |
|
VISUAL
wHash
|
04c60777b7ff180c |
|
VISUAL
colorHash
|
180000001c0 |
|
VISUAL
cropResistant
|
cc9683d170787ebe,8c8c4ecc66633155 |
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 12961 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.