Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12F51956210044C775243D6E8A7E4A607B0C0D257CB6B090063FE67AD1FFBEA6EE321A4 |
|
CONTENT
ssdeep
|
48:T7nTzPhXtIZoEmM7zuGNk+6S/pHz4jhdPLPUNx+TQhkf:TbE+EmMnq+6EWjHz7Tukf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
83de9925d9fa6602 |
|
VISUAL
aHash
|
3f3f373f3f373f3f |
|
VISUAL
dHash
|
d0d0c5c6c6c6d0d4 |
|
VISUAL
wHash
|
3f3f372320203c3c |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
80808c8c8c8d808c,e384acb6b6ac84e3,00081671310e1000 |
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 2 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|