Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F9026333A004D81E5EE7D69DF7C0E588519AC34AFB318983A2D490AF6BC4DF5996136C |
|
CONTENT
ssdeep
|
96:Z473J0CjaR1sYRNR7DGS8welnhzqlnuUwzHlnjzzFfMmORR1E8VConG1B0Qyel:ZU3JAdnRfGS8we723wbtzJfMmUU8VCoY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333cce08f8ef1c0 |
|
VISUAL
aHash
|
ffc7c707c7c7e7ff |
|
VISUAL
dHash
|
181c8c4c4c8d1d00 |
|
VISUAL
wHash
|
c70707070707c7fe |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
181c8c4c4c8d1d00,42966a7248b6fa00 |
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 3 techniques to evade detection by security scanners and make reverse engineering more difficult.