Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E74AC33421978264433C3C430B95B3AE29A9E4FFA970E450FECD7FA1BE9CA1755A119 |
|
CONTENT
ssdeep
|
6144:pigSXcMhicITlRMMm7yBvw+m1TmkjM12m4jc1dmkjM1TmLaT9R:2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ec1ac36d4e92383e |
|
VISUAL
aHash
|
f9d38f9f91d1ffc3 |
|
VISUAL
dHash
|
2b17373d2727062b |
|
VISUAL
wHash
|
e1818f879191ffc1 |
|
VISUAL
colorHash
|
07030000400 |
|
VISUAL
cropResistant
|
2b17373d2727062b |
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 35 techniques to evade detection by security scanners and make reverse engineering more difficult.