Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18E33F9F993A8E6F5E501D3E8DB214575736B11FAAE82C720C3F8DF9C69A584DCC58880 |
|
CONTENT
ssdeep
|
768:BhXTRlXND9bVOvuOdIP3hyCBE8hXTRlXND9bVN:7RFVUuO2P3bRFVN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bb26c4d9dbc092c6 |
|
VISUAL
aHash
|
ff0101090d0fffff |
|
VISUAL
dHash
|
b60f9d5b5919d2f8 |
|
VISUAL
wHash
|
7f0101010d0dffff |
|
VISUAL
colorHash
|
132000c0002 |
|
VISUAL
cropResistant
|
02b5014e0e071717,172d9b59191980d9,fcfdfbf2ccd840a0,170f2d1b5b591919 |
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 2777 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)