Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17072647072072AF646CBC3B4F6A56BB4A290DB8CC613C715B5FC06690F9BDA1DC423A4 |
|
CONTENT
ssdeep
|
384:9Pd0bIUPelp05PPUlRPilD+gVBDzsSpn8Dv:9P2MUPelpxlRmpn8T |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3545156dcd94453 |
|
VISUAL
aHash
|
fec3e7efe7e7e7e7 |
|
VISUAL
dHash
|
8c0d0c4c4c2c484c |
|
VISUAL
wHash
|
04c3c3e3e7e7e700 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
8c0d0c4c4c2c484c |
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 6638 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)