Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC541A7CB16052B7E037C7E5E5227E1070A731EFEB4A8244C2F846796EE6CA678594B0 |
|
CONTENT
ssdeep
|
1536:uO/LtB2TYpMyMaMyMUMyMUMo8UHDMLTtEml0QUyhrKmeXPQLHQfR36GengGPumYr:u+CTd7z7x7x781JcCK3Nez7z7x7xkhK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8432c22bc97b1de7 |
|
VISUAL
aHash
|
084606420301787e |
|
VISUAL
dHash
|
5bacac8aa62bc1d4 |
|
VISUAL
wHash
|
0d764ec643017d7e |
|
VISUAL
colorHash
|
30003000040 |
|
VISUAL
cropResistant
|
3098c8e4f2fafcf8,270719204524234a,a6a7a63278707838,5bacac8aa62bc1d4 |
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 1215 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.