Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C0C23C226595037612EF5CDC3BB1F69322A58384DCC345CEA12B1AF91BDF893941F8CA |
|
CONTENT
ssdeep
|
384:W9E46psVJImNjNTNnNMNMNPNMNhNfNjMNGxEXpjtZhBV4juT3RTy2GrHGNqwmOen:J4fJI/M8zb |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a0749bcadf898acc |
|
VISUAL
aHash
|
ffc3c3c3c3ffffff |
|
VISUAL
dHash
|
490e96960f4dd3de |
|
VISUAL
wHash
|
ffc3818101017f7f |
|
VISUAL
colorHash
|
07000007000 |
|
VISUAL
cropResistant
|
490e96960f4dd3de,6d69616360eab1b1 |
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 50 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)