Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1309143B871555BBB56C3CAB1B2B07B1AB2D8DB06C857D646B2F8C2492FD7C10CE453A0 |
|
CONTENT
ssdeep
|
48:TI4sQh4p14UrwRlZC2rk7ydT1qvAYIwQQ0lLQ6rUu8loMP5vRk7ydT1qvAYIv0m:TI48A+2w6ZlQ0lANlNPw6Zlvf |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cb94b4e9160bb4f8 |
|
VISUAL
aHash
|
f9f9b939f9f9f9f9 |
|
VISUAL
dHash
|
c3c3636303630343 |
|
VISUAL
wHash
|
f878f830f0f0f0f0 |
|
VISUAL
colorHash
|
07000000038 |
|
VISUAL
cropResistant
|
c3c3636303630343,455500cccc000145,41900cb2b2108841,01928cb2b28c9201 |
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 6 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|
Pages with identical visual appearance (based on perceptual hash)