Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108F2B720F3106B35025303AEBA91A272E3439784E30762DD2AE79EF87D55E65E93705F |
|
CONTENT
ssdeep
|
384:Jou44EtSQ/FlBMLLC0QNhy8Yi84qkFPYWwovefFHHPRrzuWq22iDK/Q/D:Jo8G3HBg+VNhyJkFPNWJ/ua |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4cd9b336cc93099 |
|
VISUAL
aHash
|
ffffc3c3c3c3ffff |
|
VISUAL
dHash
|
130e969696961016 |
|
VISUAL
wHash
|
99c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07400018000 |
|
VISUAL
cropResistant
|
130e969696961016,62f2b2f2a2e1a7d3 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.