Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16AC13331E14A3C2BA14B84DDB952AB5732C3C3CBCB4F1E3436B443AAAED9C71B525181 |
|
CONTENT
ssdeep
|
96:ONGzadSD2bgiLD28CSVubgiLD36mATCkKy3i3d:eaESILQscLjkzSt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c545559614d55dcd |
|
VISUAL
aHash
|
7ee3cbcfffffff00 |
|
VISUAL
dHash
|
8e6a121002000042 |
|
VISUAL
wHash
|
4222c381ffafff00 |
|
VISUAL
colorHash
|
07000000400 |
|
VISUAL
cropResistant
|
8e6a121002000042 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.