Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6D393D56618138CA147897DFF2FFE05131FB1AABA558680298EC26C96CF8D2F71352C |
|
CONTENT
ssdeep
|
1536:Fw0RQ7Hc7yzOzahWnHBxh7ugKlFsR8MLqczXFsR8MLqcMr0:m0RQ7Hapa0HNp7ah |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd0ef0c8c3e3f026 |
|
VISUAL
aHash
|
ff1f030f3fefc7c7 |
|
VISUAL
dHash
|
02351e79701e1e1e |
|
VISUAL
wHash
|
ff0f03070fc3c3c2 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
02351e79701e1e1e |
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 153 techniques to evade detection by security scanners and make reverse engineering more difficult.