Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100E123E1C044DC3B131385E5F7F5275FB5A5C345CB020A8853F893EA5BDACA0C927A99 |
|
CONTENT
ssdeep
|
96:Tkf8smtt9oh4lzH0XfeG9EBsRwvFKeBXIHFlehXGz/0VTRTN9TRFjQPJ:Qf/mr9oh4lzH0X19EaSeegz8bNFjQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
da879a5e034f960b |
|
VISUAL
aHash
|
ffffff0000000000 |
|
VISUAL
dHash
|
693008ce90213191 |
|
VISUAL
wHash
|
ffffff00000000ff |
|
VISUAL
colorHash
|
03000000007 |
|
VISUAL
cropResistant
|
6969203030380808,1100000000000000,0005050505010505,80004192924a4a82,c600020521313393 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.