Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CE2A434208221BB536784E9B2A0FF59A1EFC34DDB7B5C4AB3FC87C947C5C51A92A509 |
|
CONTENT
ssdeep
|
384:b+CTvtIOgGxAy/dXkmJgvt0nmty+SxnJD7Jgv9mVze4C7mXsTIWVBONPYA:RvtfhlRx++m4+qJ7O1mle4gwsTIUBOFz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3e3621cbe3c9c38 |
|
VISUAL
aHash
|
7670787718180004 |
|
VISUAL
dHash
|
c4c9d0ecf271a5d5 |
|
VISUAL
wHash
|
fff7f0f018180004 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
c4c9d0ecf271a5d5 |
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 59 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.