Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7E11DF1D004ED3B031385D9A7BA6B0B7691C749CF071A45A7F8C3AA6BDAC60CF16589 |
|
CONTENT
ssdeep
|
192:QvpMngknzD715lt8iIGugVGFyVG85zmqw:Qvptkznf1Zu4GFeGTqw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b9b91ace4ec61296 |
|
VISUAL
aHash
|
ffcbcffbfbffff00 |
|
VISUAL
dHash
|
1696981606080000 |
|
VISUAL
wHash
|
34000000fbffff00 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
1296981606080200,534246d69696c6c6,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.