Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18D946631134A293CA2178F98F769F778926F829DEF0FA0D5A52D5262438FC81D9735C8 |
|
CONTENT
ssdeep
|
768:ha3IKAMErhUfks6xS//04zVvKkJBo69/+yyPCXSsz+PnJIlBgyAdBoYHzk6S8Bpu:/MzBA6FkbWaVQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d0799cb4c6343d36 |
|
VISUAL
aHash
|
5e7c087c7e207c7e |
|
VISUAL
dHash
|
b4f0d0d4d4c4ecd4 |
|
VISUAL
wHash
|
427c087c7c7c747c |
|
VISUAL
colorHash
|
38002000030 |
|
VISUAL
cropResistant
|
b4f0d0d4d4c4ecd4 |
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 87 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.