Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B383D893D26817BC78460B58C622706635E550DFF236D3ACC7BB9692F805EF204ACDB9 |
|
CONTENT
ssdeep
|
768:qOWpkiljB2g8IeLDtr0YO+y+TI7rDQjIZf48ty+S2nSuzCk5U0wS6tNLRbkFDyU1:qOWpFP8IQTI0MZw8VNSeCkydLAWLaS+ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ca4ab5a9b405a5fa |
|
VISUAL
aHash
|
f9f8f878f9f9f9fd |
|
VISUAL
dHash
|
03b1d1d1b1131189 |
|
VISUAL
wHash
|
c1f8303038f9f9f8 |
|
VISUAL
colorHash
|
07e00000040 |
|
VISUAL
cropResistant
|
03b1d1d1b1131189,0f030c850b362e0f |
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 250 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)