Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12714C7E160806B7E425F87C59BB1FFDCE3EA505EFA990846C2D843A442D3CD4EEAB544 |
|
CONTENT
ssdeep
|
1536:4ohanOLqLejfUaKrY4BraXb2u5KzuRY1E7qH7JvuIYs1Pu6lB6ZBFB7ByBS:4ohan0Ua2y6BUBFB7ByBS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9949363665671e9c |
|
VISUAL
aHash
|
001c3c383c3c1c00 |
|
VISUAL
dHash
|
1771717331292916 |
|
VISUAL
wHash
|
003c7c3cbcbe3e4a |
|
VISUAL
colorHash
|
07200000180 |
|
VISUAL
cropResistant
|
62329a22b2aa332b,1771717331292916 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)