Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T195F2C73272046A3F11D7D3C9B362E32EA2E64289E746091593FD875D0FEBD81ED23525 |
|
CONTENT
ssdeep
|
768:rLy5NGW1qoaHQLedjCyrtuiYIIIIIIIIIwYP7fIIMlB4WIalJ+IIF6JkHab7sOy8:QooaHgedYiYIIIIIIIIIwYP7fIIMlxJp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c767f818b82992cd |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
54cdc3cbe0ecd000 |
|
VISUAL
wHash
|
00757120303cffff |
|
VISUAL
colorHash
|
31e00008000 |
|
VISUAL
cropResistant
|
4880802058d08000,544dc1cbc3e0ccc0 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.