Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12BF113E1C048DC3B135385E5B7B5275FB696C345CF020A8853F852AB5BDEC60CA63A9A |
|
CONTENT
ssdeep
|
96:TkfJ7mohOlzH0X0eGnVvrIOayEowvFKeRX0HFBeRXiz/oIVvrZfQ6R:QfJ7mohOlzH0XsnhWyEzqKEzjh9fQQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3934364bcbcec92 |
|
VISUAL
aHash
|
0000ffffff000000 |
|
VISUAL
dHash
|
26c9e93008a30000 |
|
VISUAL
wHash
|
003cfffffff00000 |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
d8c900303830084c,0404000008c8d4ed,a2a3188200000000 |
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 58 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)