Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AE154D1C458DD37032286D5F7F66B5FB5A2C349CB06098493F842AB9BCBC60CA16ADD |
|
CONTENT
ssdeep
|
192:kyjWjYG79oh4lzH0X1iEdalWHG4uszTaPqQR:kyKsSQXQWmd7F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4936d1e394e6516 |
|
VISUAL
aHash
|
00e7e7ffffc3d3c3 |
|
VISUAL
dHash
|
300c4d22080f2b16 |
|
VISUAL
wHash
|
00e7e7dfcfc18181 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
100c0c300e2b2b16,b2888e8896968082,aa808ca88c8c80aa,0000020414040000,ccacaeaeaccc1184 |
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 115 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)