Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10A41EA7940186E3B270789E8B6A3671D709FC20FCB560C05A7B41AED5BD3EEAC124595 |
|
CONTENT
ssdeep
|
48:0GJWUulUF34QlwAvD4uTNt6HnAkNQooe6HA3HArdFxDn:KUuy3RWAvDHhCAkQoo0QrdHn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b70a5d22770a7723 |
|
VISUAL
aHash
|
007fe7e7e7e7fffe |
|
VISUAL
dHash
|
e9f0c8e84d4c1002 |
|
VISUAL
wHash
|
003e2667e7e7e680 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
e9f0c8e84d4c1002 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.