Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187336571D000717702238AC5B2B39F4EA5DBE65DCE238981F6FD87D86BCACF18512996 |
|
CONTENT
ssdeep
|
1536:vkQR+Ri7ND04323oY8hTii9FbWZY7pNH7lZnosAWjFBw7Il:vkQIG7JZno0j8o |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a857aa0dd62bd42b |
|
VISUAL
aHash
|
00000018185b1bff |
|
VISUAL
dHash
|
5108121330b23331 |
|
VISUAL
wHash
|
00c0d898d8fe1bff |
|
VISUAL
colorHash
|
38203200000 |
|
VISUAL
cropResistant
|
ca00806d2d8000c0,5108121330b23331 |
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 6394 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.