Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B5C29671A110673B02E7C2C9B3A1BB1A72E3824DC74A251553FEC36D1BDBE10EE27166 |
|
CONTENT
ssdeep
|
384:9e79YIrISgyGdXNwjwyvI9fkBrep82aP0qIYsOy2+y9BH4cCUIe:9e79yDl2I6BrS82an7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3439438bc3cf5e1 |
|
VISUAL
aHash
|
002420000000ffff |
|
VISUAL
dHash
|
dcc8cce4c8c8c800 |
|
VISUAL
wHash
|
027c64306064ffff |
|
VISUAL
colorHash
|
31040000e00 |
|
VISUAL
cropResistant
|
cc00880258988000,9cc8c8cce0c8c8c8 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.