Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E7811EB2D1A5043F10378DC9F6BA777931E6A24CE902142582FD437987EED52B9139A8 |
|
CONTENT
ssdeep
|
96:Tifx0ZSZSTwYxGd8ROviSSRwSApUkSEWS8QSjwSG4v7dO:SIUcPRph9Ez8JjppO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b5fd0a1a7ac141bc |
|
VISUAL
aHash
|
8183e3e383020000 |
|
VISUAL
dHash
|
3316860636ce8e4f |
|
VISUAL
wHash
|
c3c3e3e3c3037f01 |
|
VISUAL
colorHash
|
30041012000 |
|
VISUAL
cropResistant
|
483434d2a22a4959,8080800a26008080,3316860636ce8e4f |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)