Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D9D1FCF0D044ED3B435386D9A7BA6F0B7791C389CF031A4593F883AB5BDAC60CA1559A |
|
CONTENT
ssdeep
|
96:Tk6Hn7DJ1tktt8v67McdwZD9FK4iX3HFuCXaX/Mytp6fqzR:Q6Hn7DJ1gt8iIGwyYXUybaq9 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4e4139b1bbc1a93 |
|
VISUAL
aHash
|
fff3f3d3ffffff00 |
|
VISUAL
dHash
|
262626a600240000 |
|
VISUAL
wHash
|
18400000ffffff00 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
362626a606200400,7c70337c70797c7f,0000000000000000 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.