Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19BB132B1914AE81F1462C2D49BBAFB5D57464144CB230F0597F84BAE7AC7DA8CC231EC |
|
CONTENT
ssdeep
|
96:D9+uCJsjdja8NtuMJFtRCJUtA9MJ6it3JT2JtEZu/64a6iVNbx1:l+sjdjaM40FPaUKu6i3Tumy64Be11 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c23c91f1b88eef44 |
|
VISUAL
aHash
|
c1001011e0f47e7e |
|
VISUAL
dHash
|
019561e9c7c8c4c8 |
|
VISUAL
wHash
|
e7001011e0fc7eff |
|
VISUAL
colorHash
|
18000001640 |
|
VISUAL
cropResistant
|
36d636c6848c6cc5,a290059adccca83b,019561e9c7c8c4c8 |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.