Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15DD27472A1001B3B12A3C2C9B751B72AE2F3924DD6C5091593FD879E5BE7E40DD2352A |
|
CONTENT
ssdeep
|
768:KSXy5N1J1+MLJU1AIth9zcsrCoYrzk7sOy2+y9BH4crIe:w1+MLJU1xxCoKk7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c36bfc32dc6d9280 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
1c49cbc3c84cc600 |
|
VISUAL
wHash
|
80ed71202406ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
408080106c888000,14094bcbc3ccccc6 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.