Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AC394B0634106BF94C7C2E4FA66AF6ED2ADC387C6638889F3E8C2579B82C15DD45750 |
|
CONTENT
ssdeep
|
768:E9nysB4CygfavCjCrESU1yE2W89Ic6WDRdN52mxZ7viJBJBse+fZHzaDbcduhst9:sLeCTfavCjC6V2W89IZUTN52mME |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7017e3877c467c1 |
|
VISUAL
aHash
|
00087c646e0fffbe |
|
VISUAL
dHash
|
a4d8c8c8d828b074 |
|
VISUAL
wHash
|
000a706c6f0fffbc |
|
VISUAL
colorHash
|
10007000000 |
|
VISUAL
cropResistant
|
a4d8c8c8d828b074 |
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 145 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)