Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11B43DEFA3008763941B64673626753FDA35180C86BAEA43DA0E5C381F6C3FA18D55F2E |
|
CONTENT
ssdeep
|
384:B1F4TBDF4vr/niP9ntHC0bf8AvYVJ04kcmTKSsPyyWAuz:Bkdyv7mFtH1f8JJDkylPnWB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b247cd3632494e4f |
|
VISUAL
aHash
|
00f7ffc7c7c7ffff |
|
VISUAL
dHash
|
0c2c2c0d0d0d1c1c |
|
VISUAL
wHash
|
00c7c7878787c7c7 |
|
VISUAL
colorHash
|
07201010040 |
|
VISUAL
cropResistant
|
0c2c2c0d0d0d1c1c,00130b3534330323,0000000000000000,81c367e3d3f140c0 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.