Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T112D141F1E144EC3B035386E9A7F96B4FB2D1C345CB061644A3F883AF5BDAC60CA1565A |
|
CONTENT
ssdeep
|
96:TkB3yZnbzDJ1tkUcEit8v67dUaco5wvFJQexXuHFnXz8WXKz/bfd2J:QQnbzDJ1bcnt8ij2IdOzzdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0b81cc7e74ccca6 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
383a322e08100800 |
|
VISUAL
wHash
|
bfcfdfcfe7000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
20363a32362e0e20,0000000000000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.