Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T123B2953162402B3F129B83D9B711F71EB1939289EF86190653FC8B9E4BD7E90D91346B |
|
CONTENT
ssdeep
|
384:9Aty5NN82K4DVyW8uFpO7kEr0dU9F/AcFbotF+yC5uwYtKnGIYsOy2+y9BH4cCUl:ety5NNk4jzIyk4cFbWC5NYt/7sOy2+yv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c24ab932f56dc594 |
|
VISUAL
aHash
|
000130000400ffff |
|
VISUAL
dHash
|
99c1c1cb4c6cb700 |
|
VISUAL
wHash
|
007979700e00ffff |
|
VISUAL
colorHash
|
39000600208 |
|
VISUAL
cropResistant
|
7454cdb33b1a9a9b,00201c8e9e580000,0080800858808000,98c9c1c3c9cc6cf7 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.