Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17F818736305081374BA292E56A97B70A73D0C25CCA571654DAFC93FC0ED9CF5D87121A |
|
CONTENT
ssdeep
|
48:SnuplNmTNMHcC97xDHeHaaSLYGRbOuCgHtiWwcxQeCMGmyAOU0qPGSFoIEY05V:qudb9dCaaSxRqrgHtiYyADhPZoIEY0D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd669998338966cc |
|
VISUAL
aHash
|
f0d8b89890181818 |
|
VISUAL
dHash
|
1030603030323232 |
|
VISUAL
wHash
|
f0f8fcf0d8d89818 |
|
VISUAL
colorHash
|
00002c00000 |
|
VISUAL
cropResistant
|
0000000000000000,ca35b19e9ed8dc23,404219aca4716960,808080aa88808080,eb9494eacacaca35,968e9a968e8eaaa2,1030603030323232 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.