Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T169C2FB717551856B02B7D9C0E0617F1E72C3F30BC20B85065AAE42A16FC3CF9BBA95A6 |
|
CONTENT
ssdeep
|
192:6YVRVrxY5wkYQbgeXhe/4beXhe/4+UnVFs6i41/blckhGcJraGB+8xR:LNxY5wkYogeXhe/4beXhe/4ngLoRraGF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e3666c89cccc3366 |
|
VISUAL
aHash
|
e3e7e7ffffefe7ef |
|
VISUAL
dHash
|
044d4d040c1c0c1c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07002010000 |
|
VISUAL
cropResistant
|
044d4d040c1c0c1c |
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 24 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.