Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T117C32BAF1768ED31456B4AD8906738213EAB216FD1097130E28CD7B6B66FC4DFC1394A |
|
CONTENT
ssdeep
|
1536:qqYMMdJMdUMdFPeVPeXexWeyeVe5eSle2bXOF3O0iOW9OgwO2+ihlUhjE7AKhj5I:SINbOJO3OqOhOe0BFhiQyRJU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3267c11d9c9dc1 |
|
VISUAL
aHash
|
e6c39f9fc3fff383 |
|
VISUAL
dHash
|
4e0f3223bb223632 |
|
VISUAL
wHash
|
a6839b99819fbb81 |
|
VISUAL
colorHash
|
07010400001 |
|
VISUAL
cropResistant
|
4e0f3223bb223632 |
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 145 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.