Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T176F1FC32644CEC3B23235BD1B492B705E2D6C66ECA421610D6BC439D0FFBEE2E44265B |
|
CONTENT
ssdeep
|
192:EHCJ+kYMHSTCuCgEGCBdDxe8LTjKkrfjg1r9j3rr7dv:WCJ+kR+3jjCxe8LTjKkrfjg1r9j3rr7J |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6666cc5c763233 |
|
VISUAL
aHash
|
0018001818181800 |
|
VISUAL
dHash
|
62724cb2b2b2b24c |
|
VISUAL
wHash
|
001810183c3c1c1c |
|
VISUAL
colorHash
|
07007000080 |
|
VISUAL
cropResistant
|
e2a2e28033b2b8b8,62724cb2b2b2b24c |
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 103 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)