Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E5F29631A1559E3B80A7D2D9F3A1A32F22D2938AC906034593FD83BD0FEBD84FD26554 |
|
CONTENT
ssdeep
|
768:Xuk1arxchWGJI0WlNKWJFE52/v1k538P7dDeDNL9Ehz:XukZWGJI0OUJ8P7NeDN9G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcaa438a1b2bcd4e |
|
VISUAL
aHash
|
fdfffbcf9fff0000 |
|
VISUAL
dHash
|
2b86371b35200322 |
|
VISUAL
wHash
|
81fff38b95ff0000 |
|
VISUAL
colorHash
|
07000030000 |
|
VISUAL
cropResistant
|
2b8a07331b353303,0002020202020200,0000043333000000 |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.