Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E672A7B14054553B5183C3E4F272AF6FA3D6C389DB1B1A0E63FC83AAABDAC58CC52145 |
|
CONTENT
ssdeep
|
384:ufPvl7hXaP/AjclpZHsqVtLEj9LVr80D9Tz1d5VK8XPH0jZeLsisLsiO:uZEbpZHjGZK00cAisAiO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df9838c53aa2e538 |
|
VISUAL
aHash
|
dc1c1c3c38722604 |
|
VISUAL
dHash
|
b070705052c24a48 |
|
VISUAL
wHash
|
dc9c9cb8b8faa680 |
|
VISUAL
colorHash
|
18402000040 |
|
VISUAL
cropResistant
|
c0c0c0f1e6e26361,0000000000000000,7064a0b0b2f438d8,ee932d1b930c0eb2,a29a8a9a9ab682a2,b070705052c24a48 |
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 1566 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.