Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C5D2EFB051DD24DA0206E48BD9187F0D7CE641FEBFA7571206B82E7F36F3864CA29619 |
|
CONTENT
ssdeep
|
384:na9TKYAE7Q2jTt9Ju3kRq8+mQs8vHnAjIJSKcrHXAdfxnUuq:VYAn2jTXJgF/Hs0HgIJSlwdZnhq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e2c8d9663699d836 |
|
VISUAL
aHash
|
fdf9dfe187e1ffef |
|
VISUAL
dHash
|
69439b0f0d0b3b6c |
|
VISUAL
wHash
|
b1b9c7e187e18187 |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
69439b0f0d0b3b6c,0f2327a744492343 |
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 52 techniques to evade detection by security scanners and make reverse engineering more difficult.