Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14E233FB26146197F958791CABF786F0DE1C7934BC6620D0AB7F2834B9F82D60FC49660 |
|
CONTENT
ssdeep
|
768:YfZ8fBZ8fzhu9bawWJTtD7/4FZcZZ7viJBJBse+fZHzaDbcduhsty0gKIBKen8Q4:Bb+7bEkF |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bfbc7e4098416371 |
|
VISUAL
aHash
|
12ffffffff000000 |
|
VISUAL
dHash
|
34264e566eccc445 |
|
VISUAL
wHash
|
02bfffffff000000 |
|
VISUAL
colorHash
|
1e400018000 |
|
VISUAL
cropResistant
|
36366e4e5e5776af,8b24146464942262,1f2f6f3fbf7d373b,26ccc8c4c9e44549 |
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 132 techniques to evade detection by security scanners and make reverse engineering more difficult.