Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A4D3A3D55618138CA057C9ADFF2FFE05131FB1AABA1586802A8EC26C95CF8D2F71352C |
|
CONTENT
ssdeep
|
1536:xE0RQ7H472z6EarWaHKpR3/rWuddn8lzlFsR8MLqcDXFsR8MLqcM70:C0RQ7HWea7HY/rUlMq5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b50ef8e0cbcbe0e0 |
|
VISUAL
aHash
|
9f03073fefc7cfc7 |
|
VISUAL
dHash
|
30364e701e1e9e1e |
|
VISUAL
wHash
|
1f03031fc7c3c3c7 |
|
VISUAL
colorHash
|
07038000000 |
|
VISUAL
cropResistant
|
30364e701e1e9e1e |
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 153 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)