Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11DF2C632D05A693F05ABB3E1A774A329B396438ECA43072942FDC35D4FDADD0ED064A5 |
|
CONTENT
ssdeep
|
384:pn6VII14IIIII9OlBYYcEyCH+JTnRl+llgNkpCrjCABE2qQPfWpW:B6VIIqIIIIIjEyCETnRlagNksrWcqQnx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
86e3711c9c397396 |
|
VISUAL
aHash
|
00e3ffff7f181818 |
|
VISUAL
dHash
|
8fcfcbf3e5f1f0f0 |
|
VISUAL
wHash
|
00f1ffdf7f181810 |
|
VISUAL
colorHash
|
19038000000 |
|
VISUAL
cropResistant
|
f363d3cadd988c8c,0002c8fcd4440000,8fcfcbf3e5f1f0f0 |
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 41 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)