Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E9F1FD32A44CED3B23235FD1B492B715E2D6C66ECA421610D6BC439D0FEBED2E44265B |
|
CONTENT
ssdeep
|
192:EHQJokYMHApTCuCgEXCBdDAKe8LTjKkrA2jg1rAUj3rrAYdv:WQJokRAJ3jeCAKe8LTjKkrA2jg1rAUjH |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc6666cc5c763233 |
|
VISUAL
aHash
|
0018001818181800 |
|
VISUAL
dHash
|
62724cb2b2b2b24c |
|
VISUAL
wHash
|
0018f8f83c3c3c3c |
|
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)