Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16041737182615D2BA583D78937B1AB293E41858993421B0C47F2D2FF64EED45CD213ED |
|
CONTENT
ssdeep
|
48:TeSHKW3KVn53oelDWtxD7GquZVApzeR3HJ2r+RAC5Qzjn3/9l:TeCNaX3oel6/D7cZyk8+V5Ojn3/9l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9d28631769275e5c |
|
VISUAL
aHash
|
00ffbf3d3e3e1fe3 |
|
VISUAL
dHash
|
8fb2abab3268704a |
|
VISUAL
wHash
|
005f9f181e1e1ef9 |
|
VISUAL
colorHash
|
07c00018000 |
|
VISUAL
cropResistant
|
8fb2abb2326872ca,008040632380a1d8 |
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 366 techniques to evade detection by security scanners and make reverse engineering more difficult.