Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T171D18712D596772D785E8274E265C2CEB75402C6D3370FC462BB927FB8481A28533ACE |
|
CONTENT
ssdeep
|
96:TZnjqZ3P4ZMZ7H03RHxiCxODl5SwyVwjtMt/BUl+Y7l04/uDAkvFiaXa:NWpJtiHxUnXyVwjtMt/Bw+Y7P |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92ec6d9a92ece191 |
|
VISUAL
aHash
|
fb0040466c6c007e |
|
VISUAL
dHash
|
03b8868c88a8c2ca |
|
VISUAL
wHash
|
ff0042e66e7c00fe |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
1fdfceaee6ced060,03b8868c88a8c2ca |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)