Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1D112E0C514ED37875285D9ABF66B07B3D2C35DCF02094497F883AB97CEC60CA265A9 |
|
CONTENT
ssdeep
|
96:TkV+TjzeNQeSTgG0y2rOSV8iswvFneRXcHFGeZXvX/RY3kPk8J:QkjzewkG0TVMevRXZdPd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c761383ec73838c7 |
|
VISUAL
aHash
|
0000707070000000 |
|
VISUAL
dHash
|
4030c4c048200000 |
|
VISUAL
wHash
|
00fff0f0f090f0f0 |
|
VISUAL
colorHash
|
07000038000 |
|
VISUAL
cropResistant
|
2021c280a2a2a280,9091e280a2a280a2,4030c4c048200000 |
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 63 techniques to evade detection by security scanners and make reverse engineering more difficult.