Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12A33A6E5233C62DC59835FAFEF75B065632E60FAB6D688A05D0D8BB890D38D8E543D40 |
|
CONTENT
ssdeep
|
1536:D0KvJvBY8YHL/SGwMBRwZR+Z5cA3PNStvBer1:D0btSGwMBRwZRDA3Pv1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e398e01fe0e01f1f |
|
VISUAL
aHash
|
e0e0e0e0e0e0e0e0 |
|
VISUAL
dHash
|
c84848c848480c4a |
|
VISUAL
wHash
|
fefcf0e0e0e0e0e0 |
|
VISUAL
colorHash
|
02007000000 |
|
VISUAL
cropResistant
|
c84848c848480c4a |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.