Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E92D73191982637169343EAB3252B59B1D7C250C70A13ACF0FAC36D7FFAC44ECA5A59 |
|
CONTENT
ssdeep
|
384:NU+h0ntHrpB28hTKnsKFKCKUbKSjPKAr2WC+S:NsTisOHxbbjP/pS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8d2167df3067ce30 |
|
VISUAL
aHash
|
00001f7ddebc0000 |
|
VISUAL
dHash
|
2b56d7d1b8702217 |
|
VISUAL
wHash
|
01165f7fdffe8000 |
|
VISUAL
colorHash
|
39601008000 |
|
VISUAL
cropResistant
|
8e0082c2c2820092,2b56d7d1b8702217 |
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)