Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13431323360045C3D5123CBD9FB997B2323798668CA0E1101A6DD87B81BC9C94EC26184 |
|
CONTENT
ssdeep
|
24:hR/Y9CP6RhMZiGmfdjojhllUYllHpM3hwzVqQ+v01v/bkf5ZPgioXLX:Tww6givmlH0hwUOv/GYpXLX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9f070f0f070f0f0f |
|
VISUAL
aHash
|
3f1f1f8f1e9fbf1f |
|
VISUAL
dHash
|
607a2c0a383a633b |
|
VISUAL
wHash
|
000f77861e9e9f0f |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
607a2c0a383a633b |
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 32 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)