Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17DC110E1C414ED37471386D9A7F56B0BB3E2C359CE42194097F883BB5BCAC60CB265A9 |
|
CONTENT
ssdeep
|
96:TkwhVzebeSTgGF6mawvldee2yX3HlwXeNXdE/Uq3kPkyJ:QwhVze3kGF6iB2oiO3EiPT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
adc6b3c3e8c4b294 |
|
VISUAL
aHash
|
ff999f9999effb81 |
|
VISUAL
dHash
|
81632633335a120b |
|
VISUAL
wHash
|
ffb89a989883b381 |
|
VISUAL
colorHash
|
070030000c0 |
|
VISUAL
cropResistant
|
81632633335a120b,5756464646464947,1191118501816101,4141212121015101 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.