Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T162D1EDF0D004ED3B435386D9A7B66B0B76D1C789CF07094593F883AB5BDAC60CA26699 |
|
CONTENT
ssdeep
|
96:Tkvn7D71tVt8v67McdtGCt5LwvFOQexXjHFJexXkX/PYfq2J:Qvn7D71Tt8iIGtGCbF5eGXXcqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3b34ccc33994c99 |
|
VISUAL
aHash
|
ffffffefefffff00 |
|
VISUAL
dHash
|
080c080808300000 |
|
VISUAL
wHash
|
242424242f3fff00 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
080c08080a000800,0000000000000000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.