Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14CA2FDA4700520BE0173D9D1FAB07FDA31BFF38AC54A1AA056BD52988FC7EF0B905568 |
|
CONTENT
ssdeep
|
384:JSYWFXnr+nLUGUdU2QWUq4MBfF63VWNLYB:JStWOBfF6lWNLy |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9212ed19e899ee93 |
|
VISUAL
aHash
|
ff0404040404fffb |
|
VISUAL
dHash
|
716dcdcdcd6dd203 |
|
VISUAL
wHash
|
ff04040c4c04ffff |
|
VISUAL
colorHash
|
020000001c0 |
|
VISUAL
cropResistant
|
00014171718100fd,de5c000270606882,aa8082da3aa280a2,4300030023232323,fd6dcdcdcddd6ddf,45418028a4842800 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)