Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1070241F1E050ED37071381C6A7BA7B6B77A1C349CF430A5453F893AA6BCACA1CB11599 |
|
CONTENT
ssdeep
|
96:TkTnfzD71tDlt8v67Mcdp2wLytA7hFhQepXfHF5geeWX8U3/8rq2+AT431:QTnfzD715lt8iIGTyi7hhnCioq48F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f9a176864c897993 |
|
VISUAL
aHash
|
ffffeffbffffff00 |
|
VISUAL
dHash
|
241c1a0200020020 |
|
VISUAL
wHash
|
1f03033bcfcf4f00 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
201c1a0200020000,0000c02020202020 |
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.