Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DCD2321156019A3FA25341C87722EF2733908282EB8B5FA91BE446D6FDCFC61CE652DD |
|
CONTENT
ssdeep
|
384:92F2yEWNR7zft2tQ/4+goJp9C3rGsDeJXfi+MokREJVaRqR:ogvWb7b8tWEMpobLiJXnQ3qR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a2c91ae34f906fc5 |
|
VISUAL
aHash
|
ffffffffe7e7e781 |
|
VISUAL
dHash
|
00000c318e8e8c33 |
|
VISUAL
wHash
|
00000000e7c7e700 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
00000c318e8e8c33,1f09042524242424,5a5a5a5a5bd86f03,40404040415843bf,003dc50505050505,3030101030323000 |
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 57 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)