Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T154B17564A015783356A683D87662731A32CACB41CB471B0947FCC39E9EEAD59CC096FE |
|
CONTENT
ssdeep
|
96:9D78xZtT20qBCOTwlJqsOTv2qUA3TboT+0plw2oFl3fvL5:VonTqBWlQLUA3TboTjvw22l33L5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3191c361d763699 |
|
VISUAL
aHash
|
00efffffffe7e7ff |
|
VISUAL
dHash
|
3154140c080c0e14 |
|
VISUAL
wHash
|
00cf00efefe7e700 |
|
VISUAL
colorHash
|
07000000c40 |
|
VISUAL
cropResistant
|
001b3b2b33920000,10100c0c4c0c0c0c,1048517571484800 |
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.