Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T197F3413E6300EA3F36538459E495B6A6E38F7A1DCA5F8866C3FC0557AF99CE1C102E44 |
|
CONTENT
ssdeep
|
3072:rXN5llGSaljz8QLyCLnCKlwRkP5XrkdL2kmWWreji22itP5t27Zpv3FfxFlmFCWG:rXN5llGSaljz8QLyCLnCKlwRkP5Xrkdo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9815a766c8c9979b |
|
VISUAL
aHash
|
ff000c180000ffff |
|
VISUAL
dHash
|
a6bc38b1b1076708 |
|
VISUAL
wHash
|
ff041e1c0000ffff |
|
VISUAL
colorHash
|
33038000000 |
|
VISUAL
cropResistant
|
0008304c4d4c1408,b000228c8cf200f2,fce0808390838ee0,730044200c0c0e00,b2ec38b0b1a51f67 |
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.