Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AA3208E323900ABEE60383E8A291B83D307A31DEF557825C95EC61D65F59CD84C6DDA3 |
|
CONTENT
ssdeep
|
192:Xk8nnwz2xfYWIlAN8xohBmwXx1hDK9hBIj39hPS8FXkJ:xnwqxfjIQ9Btzhuhujthq8d2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecf319b319f24c0a |
|
VISUAL
aHash
|
00ffffffffffff00 |
|
VISUAL
dHash
|
5900040412002032 |
|
VISUAL
wHash
|
00e0e4e4ffff0000 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
5a45040408000000,0000414141410080,0000322010320810 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)