Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AFF123E1C044DC3B531385E6B7F5275F7596C349CB020E8853F852FA5BDACA0CA23A99 |
|
CONTENT
ssdeep
|
96:TkUAe7kh4lzH0XfeGnV7vJV7YjVwvFbe5XRHFKeJXPz/JVV7DMQPJ:QUAe7kh4lzH0X1nNJmjdL/9zTpMQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c47b90944bc67b3a |
|
VISUAL
aHash
|
7edb00000076ffff |
|
VISUAL
dHash
|
ccb263cc53acaccc |
|
VISUAL
wHash
|
7ecb00000076ffff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
828080804b133333,0000000000000000,0000000000000000,acacaeaeacac1180,ccb233cc4314aeac |
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 55 techniques to evade detection by security scanners and make reverse engineering more difficult.