Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19A2111A451084C7B44C686D896E9BB173ED8534EC7C7460042FCABDD8FCDD24CD20388 |
|
CONTENT
ssdeep
|
24:hnC67+4BalpMA1JaxMKfpwP8rfycaFpHx9RQLa:X71gBaDwP8rfybrzd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e626999933666699 |
|
VISUAL
aHash
|
ffffe7e7ffe7ffff |
|
VISUAL
dHash
|
0c324d4db24c3008 |
|
VISUAL
wHash
|
c0c0e4e4fce4f0f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c324d4db24c3008,10666e4f94960180 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)