Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D6F3413E6300EA3F36538459E455B6A6E38F7A1DCA9F8866C3FC0557AF99CE1C102E44 |
|
CONTENT
ssdeep
|
3072:rXN5llGSaljz8QLyCLnCKlwRkP5XrkdL2kmWWreji22itP5t27Zpv3FfxFlmFCWp:rXN5llGSaljz8QLyCLnCKlwRkP5Xrkdz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9015e76ec899979a |
|
VISUAL
aHash
|
ff000c080000ffff |
|
VISUAL
dHash
|
96bc3891930f4f00 |
|
VISUAL
wHash
|
ff060e1c0000ffff |
|
VISUAL
colorHash
|
33038000000 |
|
VISUAL
cropResistant
|
0008304c4d4c1408,b000228c8cf000b2,3f0004200c0c0e00,92bc38b891a71f4f |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.