Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12FC130A7410C1C3E26330AECF11473A92466B15CDBA60D28E7ADA374C7EDD85EEB7854 |
|
CONTENT
ssdeep
|
96:TUR/pN2mOnXTH+mhabzt+R6mR04ncRxNoqn+p3h+hvb5uWG:Kf2bTHVQbw1mMc+qn+p3h+hRG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ecc793389a3164ce |
|
VISUAL
aHash
|
ffffe3f3f3c3efff |
|
VISUAL
dHash
|
1866068626a69660 |
|
VISUAL
wHash
|
fff3c1c1d1c0c0f0 |
|
VISUAL
colorHash
|
07002000180 |
|
VISUAL
cropResistant
|
1866068626a69660,27252626e6e4e767 |
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 22 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)