Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CDC2867161807A3B42A3C3C97661B76FB2E24289E785050653FD83BD4FD7E10EE2356A |
|
CONTENT
ssdeep
|
768:BecZDhqXylDBH0JbdT7sOy2+y9BH4c1Ie:ZUKBy7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d3458432bc3cb3e9 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
ccc0c2c8c8cc8c00 |
|
VISUAL
wHash
|
06786060444effff |
|
VISUAL
colorHash
|
31038000000 |
|
VISUAL
cropResistant
|
008080005cc88000,dcc0c0c8c8c8cccc |
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.