Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11F924877E0C4353B4283D6C866217B09B3C6D20EC753496275F6C36D6FDAEA06852B2D |
|
CONTENT
ssdeep
|
384:0VPn7j4yn185YV+9AEWTf5orTf5CTf5+UGYv1VzM4c4fnaJqwduqb4zRj:PAo9Yv1VzM4zwqXqbu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f88f484d0df81fc8 |
|
VISUAL
aHash
|
10e7c7c704c0e0c0 |
|
VISUAL
dHash
|
338c2c0c49018191 |
|
VISUAL
wHash
|
18ff87c707f8e0c0 |
|
VISUAL
colorHash
|
30007000000 |
|
VISUAL
cropResistant
|
338c2c0c49018191 |
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 4 techniques to evade detection by security scanners and make reverse engineering more difficult.