Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC511EB694A0A437473B5CCDBE81570E19E7C61DD26A2A41A2EC4BE92FF1C80EB150C9 |
|
CONTENT
ssdeep
|
48:T+1HWj6oolsHHSNsekZkvkfWvkA6AvkyypvkTiNSxYS4rCzU:Tzj6oznVekZmkfEkAFkyQkTiN3RrCzU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b8bc5909e74d0c5d |
|
VISUAL
aHash
|
00ffffffff0000ff |
|
VISUAL
dHash
|
3338320f0cf12900 |
|
VISUAL
wHash
|
0087ffdbe70000ff |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
3338320f0cf12900,9000202020204000,0000092e2e2e0c04,002054a8a8a8a814 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.