Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14204B5E71364626D55DF8B8EAF35F598A30F90ECFA7794C0499E937860C3C94EA17880 |
|
CONTENT
ssdeep
|
3072:BDq5TGkD6TdM7GuTPTYbQopCl0N9P+5R/S+R+t+AR/S+R+t+Bt9brydvO5j9Xjvi:uVkxP+5R/S+R+t+AR/S+R+t+Bt9brYvV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c444bf3911bf35c4 |
|
VISUAL
aHash
|
0000700076c3ffff |
|
VISUAL
dHash
|
9ec4c484940f03d8 |
|
VISUAL
wHash
|
000072007ee7ffff |
|
VISUAL
colorHash
|
31200048200 |
|
VISUAL
cropResistant
|
9ec4c484940f03d8 |
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 348 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.