Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16062D87052104A3F1987C3D9A731A72FF389C24AC7271B65D2FD83AADBD6C96CD62085 |
|
CONTENT
ssdeep
|
192:LRGQHWv5SdAnn+YeLvPpjoFokP7A6fMizzrR54tXSIjx6xwMvBMxK5x:LRGQHG5Sdi+YGhsFokTHfMczHWVu/vXH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8353b49cb3b29687 |
|
VISUAL
aHash
|
2638382031191f1f |
|
VISUAL
dHash
|
ccd0c8c9c1f5f1fd |
|
VISUAL
wHash
|
2e783868311d1f3f |
|
VISUAL
colorHash
|
38000c00010 |
|
VISUAL
cropResistant
|
ccd0c8c9c1f5f1fd |
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 40 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.