Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D55254B250C51D7E8A5322D679B27728B042E31DCAC82B412F68D96E1CF1E31BD6D29D |
|
CONTENT
ssdeep
|
192:+nXq1Sz6qAPYBv+gB889OV3AdnOeis92jejzd/del+j:+nEo61Jj+Us0ejzdUw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3d84c6666d85872 |
|
VISUAL
aHash
|
7ee7efe7e7e7e700 |
|
VISUAL
dHash
|
8c0c16164d4d0c04 |
|
VISUAL
wHash
|
00e7c3c3e7e7e700 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
8c0c16164d4d0c04 |
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 274 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)