Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FB123F0C518ED3B475285D9ABFA6B0B76D1C359CB02194093FC83AF57CAC60CA255A9 |
|
CONTENT
ssdeep
|
96:Tk5UjzeNQeSTgGpDjFR+X1NwvFRepXsp/UAY2J:Q5UjzewkGpDm5qpVr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
989863676d926765 |
|
VISUAL
aHash
|
1e1e1e1e18000000 |
|
VISUAL
dHash
|
bcb0b4b0b00f1000 |
|
VISUAL
wHash
|
1e1f3f7f1f070005 |
|
VISUAL
colorHash
|
010000001c0 |
|
VISUAL
cropResistant
|
6e6e80a080c060c4,bcb0b4b0b00f1000 |
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.