Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11BD33234F072E53E429F76C5D62D6B9566C3D703DB888FFBD196802C6BC2AA49D43068 |
|
CONTENT
ssdeep
|
768:EOzPJm5rJu6GisnUk+VBwZaHNdYo5sHiTYIqjiqjy53a/oNGd0ra1D5KOBv8GJ1g:j1mhJt15s6usBNz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc4186bba6922fc3 |
|
VISUAL
aHash
|
ff000000ffffffff |
|
VISUAL
dHash
|
79327034002b3026 |
|
VISUAL
wHash
|
0f0000009fafffff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
4969883038847010,3a382b3b38202026,0830103230101000 |
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 98 techniques to evade detection by security scanners and make reverse engineering more difficult.