Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T164E145E1C118DD27031246D5F7F56B5BBA92C34ACB06098463F843EB9BDBC70CA26699 |
|
CONTENT
ssdeep
|
96:TkRav7moh4lzH0XfeGUEdt7z+IwvFpeJXNHFFe5XKz/Tt7z0qQPJ:QRav7moh4lzH0X1UEdx+yjmMzrx0qQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8936d6d161c6c47 |
|
VISUAL
aHash
|
00ffffffffc3c3c3 |
|
VISUAL
dHash
|
330e2b000f171717 |
|
VISUAL
wHash
|
00e7ffffc3818181 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2b0f33000f171717,0000020414040200,0000000000000000 |
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.
Pages with identical visual appearance (based on perceptual hash)