Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18C421221E3C51B0573EF58E4F8E1DB8F7B758307810A4A7CA69521B6E6CD0EBC65124A |
|
CONTENT
ssdeep
|
192:w+T3nAHjaAHZaAHxaAHDaAH3ux3cKyZASH30HB0HPxmLMwTGxT1T8j/GnHFQQm:+ZL7q |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c78d8cc176c7383c |
|
VISUAL
aHash
|
ff7f0f3000203000 |
|
VISUAL
dHash
|
d3d34f4949594169 |
|
VISUAL
wHash
|
ffffff7020203800 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
d3d34f4949594169,739b999393b9a9ac,8000310e061e80a4,00100c4e4e462004,d3d3cfc949d9c169 |
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)