Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B71B5268309190EB3679598BD90F79A23388202D30A83786AE431BDE5CE17199F73C5 |
|
CONTENT
ssdeep
|
48:TDaYamnpLlnG+wbxzSyVa1+HZPw5CLKALoS4gX7H/ddw1KIJFo4:T14zSyH9wEz5TLwYIjo4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f654dcd476505472 |
|
VISUAL
aHash
|
feffe7e7e7ffffff |
|
VISUAL
dHash
|
88334c4c4c100008 |
|
VISUAL
wHash
|
fe81c0c0e0f0fce4 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
88334c4c4c100008 |
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 820 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.