Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E33966052325A6B02A383D1F6B6DF9DE1C08340D3774A69B3FC866FAECEC44ED55261 |
|
CONTENT
ssdeep
|
768:v4YiEYQQS0i5V2WgI04L3MC0hEm634yDuNF:w1EYQQS0i5V2WgIw6IyDuNF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bad54d2c119596d5 |
|
VISUAL
aHash
|
02a4fe4cc5818100 |
|
VISUAL
dHash
|
16494c9919252711 |
|
VISUAL
wHash
|
02f5fecfcd878101 |
|
VISUAL
colorHash
|
300000084c0 |
|
VISUAL
cropResistant
|
16494c9919252711 |
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 154 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)