Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13EE29331A019693F0AABB3D1EB65A36B73D1838DC9474B2A82FCC7584FEBC50DD06594 |
|
CONTENT
ssdeep
|
384:S7IItkSiQhIIIII9flBHoVhP21mpLEJLbMxqsPXC1ePyU7gkmpGpW:cIItkmhIIIIIyJuiLwvWPXqeqU0kmpB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
87e3791c983963c6 |
|
VISUAL
aHash
|
00e1f7ff7f381818 |
|
VISUAL
dHash
|
c7c7cfdbe5e1f070 |
|
VISUAL
wHash
|
00e1f7ff7f381808 |
|
VISUAL
colorHash
|
19030000000 |
|
VISUAL
cropResistant
|
f3e3d3ce9c888c0c,0000706169600000,c7c7cfdbe5e1f070 |
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 37 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)