Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T182425543110C1E65C3F3805984103690A287DA8FC9648BB056BD4E7F2FE799667A6FBF |
|
CONTENT
ssdeep
|
192:4OeOkGxHjbJIjLZ6/DjwgEP/7M6rzFCLf9jBJV2qIHxUXIjBgVhJJwijwF7m/d1y:iGxs3gGZFCrzQGdw34Ty |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc6cc2c29197d3c3 |
|
VISUAL
aHash
|
d3818181c3ffffff |
|
VISUAL
dHash
|
27232b333b08223b |
|
VISUAL
wHash
|
8181818181ffffcf |
|
VISUAL
colorHash
|
0f000000e00 |
|
VISUAL
cropResistant
|
27232b333b08223b,e7e7c494d033b5b9 |
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 5 techniques to evade detection by security scanners and make reverse engineering more difficult.