Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13751C1368825E8375193A1C8E7BE8F1B6395CE4CCAD36B0602F4838D4FEAD24CD5125E |
|
CONTENT
ssdeep
|
48:g4q8j0hNSWncwomi5YjV3prx+gklEqNBRTkyG4/t:g49i2mi5IV3prggki4/t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8e6a7031cf9e3233 |
|
VISUAL
aHash
|
0000013f3f3f7fff |
|
VISUAL
dHash
|
ffffff63e3fffcf0 |
|
VISUAL
wHash
|
0000003f3f1f7fff |
|
VISUAL
colorHash
|
07e00000000 |
|
VISUAL
cropResistant
|
ffff6163e3fefcf0,fffffffb6163ebff |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.