Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EAA1A62BFA2E53290B550491FF1171CCD38B145E92C2899429F6A34C27B3E6A863979B |
|
CONTENT
ssdeep
|
96:2+lTfTYBTY9TPjW/D/yFBftlRH12Qp4Ejq6LXcXsTTcm9KkO:2aTfTYBTY9TP6/D6jftlR3BXfTNO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ac2d9b1326263f2d |
|
VISUAL
aHash
|
03cbd3e373ffffff |
|
VISUAL
dHash
|
2e121626c6bb3700 |
|
VISUAL
wHash
|
038b8303331f1bff |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
2e121626c6bb3700,00cb032b6b034b00,18e1861962138463 |
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)