Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F23333B16042657BD58791C9AB74AB0EF2C7830BCB235D49B7F2838A9FC2D60FC59614 |
|
CONTENT
ssdeep
|
768:p3Z8fuZ8f/RoLd7bl/HTth6jrkud41bstZ7viJBJBse+fZHzaDbcduhsty0gKIB4:fdh6TwkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecec1303db891b99 |
|
VISUAL
aHash
|
ffffffffff000000 |
|
VISUAL
dHash
|
4325372727c8c445 |
|
VISUAL
wHash
|
fff3fbf3f1000000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
0b652537172725c3,2f2b2f0f3f3f7f35,20cac8c4c2e44551 |
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 132 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)