Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18B92B431A1503E3F216387C97252B37EA0E3521CD74A181562FC875E8BE7F909A6386F |
|
CONTENT
ssdeep
|
384:9py5N+GGuV2OYa7eCKQOOwMtLl/vgROfFnXIYsOy2+y9BH4cUUIe:9py5N+GGuiQOOwMtLl/oROfFX7sOy2+Q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8362f83e9569c3c6 |
|
VISUAL
aHash
|
000020000400ffff |
|
VISUAL
dHash
|
9da9cbcbec2ce300 |
|
VISUAL
wHash
|
000d71703e04ffff |
|
VISUAL
colorHash
|
31208000400 |
|
VISUAL
cropResistant
|
0080800270908000,9c19c3cbc2cc6ce2 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.