Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19081B4720000AD7B5E92C2D0E7A85A1F72D5C10ACF6B4A15E7F9C75C8FFAD86CD96104 |
|
CONTENT
ssdeep
|
96:TPS+y+l+t+5S907OnoWeMDbS6Rk5ZNvYuJmwZd:LS+y+l+t+4G7OnoMq6K5XvHow7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0cbda5270b4278b |
|
VISUAL
aHash
|
f8f8e0c0c0c0c0c0 |
|
VISUAL
dHash
|
90908a8e980c1090 |
|
VISUAL
wHash
|
f8fcfac0c0c0dcd8 |
|
VISUAL
colorHash
|
06c40000000 |
|
VISUAL
cropResistant
|
484a424b4b4b0a4c,38f28088c9999991,6e46b3e3b2b8d8e2,c0e1a69cd0b0e0c0 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)