Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T142D294326114263B029783C5B731F71EA2E39689DA86190662FD839D4FD7FD0DE3351A |
|
CONTENT
ssdeep
|
768:1qeby5NbL1KPGIzdVPnhAgwKmByReEYMLy/b7sOy2+y9BH4c1Ie:VPGIRVPnHJmBy4x7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343d43abc2da5c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
dcc5c3c3cd2cc100 |
|
VISUAL
wHash
|
00fdf1310400ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
c000c00258d88000,dccdc1c3cbcd2cc0 |
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.