Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T119D3B42427002E7E50A787E4F6E5EB6AE2ADDBA5D563C559B3AC83431BCECD4CD42700 |
|
CONTENT
ssdeep
|
1536:3FychymsL83POKMmCr/m69eA21TOcwYpwNy/hQi/i3tscL27PZnK:QrLA69eA21TOcR6Ny/hQImscL27Pg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cccc0c9993b39b8e |
|
VISUAL
aHash
|
1818180818181118 |
|
VISUAL
dHash
|
b2b62212b233b3b3 |
|
VISUAL
wHash
|
181898fffbd91918 |
|
VISUAL
colorHash
|
000000001c0 |
|
VISUAL
cropResistant
|
1e1e1ebe5e66e644,002048cac8202de6,b2b62212b233b3b3 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.