Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146B3E660035C58FE305BE388EA0CFB09B185917EEF0A46C5B6A4D56DB1CADB9C17364E |
|
CONTENT
ssdeep
|
3072:sZnbKemlUcug/t0IyTaw7DL/YOELvVRrIPZUZrfbK:sZnbKemlUcug/tdy+wHvELv7rCZUZTbK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92936d6c9d6d9292 |
|
VISUAL
aHash
|
000c2e0e2e0e0000 |
|
VISUAL
dHash
|
c4d8d8dc7cdc0370 |
|
VISUAL
wHash
|
7e0e7e7e3e2e0018 |
|
VISUAL
colorHash
|
31200030040 |
|
VISUAL
cropResistant
|
8c69691747574755,c4d8d8dc7cdc0370 |
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 999 techniques to evade detection by security scanners and make reverse engineering more difficult.