Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B4424131A0547A3742C3C2D6A7756B2FB3E28247CEA3270662F5838D8FD2D56DE13156 |
|
CONTENT
ssdeep
|
192:rpmanKM3Ji+6MojMibOq0dAu6TEB9lYojOFNT:dmanlJi+6M+wq0P20jOFNT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c0d597159d353535 |
|
VISUAL
aHash
|
fefcf0d8d8400006 |
|
VISUAL
dHash
|
c6e190929080ecec |
|
VISUAL
wHash
|
eafcf8f8f8e0001a |
|
VISUAL
colorHash
|
30e00000000 |
|
VISUAL
cropResistant
|
c6e190929080ecec |
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 1647 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)