Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BF4277B4C301653D4B0347D36B196A28935E91C6EADC2328B7EBC8C05B4E4EDEC9B5D9 |
|
CONTENT
ssdeep
|
96:TrHZMeJBCJyToskV7OzUzCazKmz38TzlZzmz4zAQzMzosDzdzSBU4:HHZNJsJooNygXK+38Xb+83InHVY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93866cb97a6ac368 |
|
VISUAL
aHash
|
003f7e6c6f3f0000 |
|
VISUAL
dHash
|
77eac8c9d8d8e810 |
|
VISUAL
wHash
|
003f7e7f6f7f0000 |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
c99c81819386a1e3,fcf8f0e0e0e0e040,f0646094b0d8d0f0,77eac8c9d8d8e810 |
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.