Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10DB12D309069DC6B524B81C572709F4E33E1C281CB734B0423F9A7AD6EDACA7FD56294 |
|
CONTENT
ssdeep
|
48:T7YRw9leR5kCKyB3UBo2RCOQeBTm/QOkBRU5COEB12/OHBRIiOJB51o4K30h6Y5b:TgMSkCnUXOX/Oup1o4K301C5QkyUMf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b676c9c165cc9cc1 |
|
VISUAL
aHash
|
e7c7c3c3c3e7ffff |
|
VISUAL
dHash
|
8c0d0c0c0c0c000c |
|
VISUAL
wHash
|
c2c283828283ffff |
|
VISUAL
colorHash
|
07000008188 |
|
VISUAL
cropResistant
|
8c0d0c0c0c0c000c,1664e886a6a4d070 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)