Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1463319F893A5E6F9E105D3E4DB660539735A11FAEA82C710C3FD9F8C98D588EDC48881 |
|
CONTENT
ssdeep
|
768:1hXTRlXND9bVDvuOdrIRVCiCbDrkle78hXTRlXND9bVN:/RFVTuOdcadYRFVN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb26c459dbc093d2 |
|
VISUAL
aHash
|
ff0101090d0dffff |
|
VISUAL
dHash
|
b70f9d5b5919ccc0 |
|
VISUAL
wHash
|
ff0101090d01ffff |
|
VISUAL
colorHash
|
1b2000c0001 |
|
VISUAL
cropResistant
|
012380b5b1020186,feffe08ffde2e4f0,f0d898948c9c9186,66e6e6c6c6c6ce8f,8080c0c08060e0e0,070f2ddb5b591919 |
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)