Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17EE186E1C458CD3B072246D5F7F56B5FBA92C349CB06098453F843AB9BCAC70CA2669D |
|
CONTENT
ssdeep
|
96:TkN79oh4lzH0XfeG9Edt7Y7DwvFwMevFXr/HF7ehXoz/zt7FqQPJ:QN79oh4lzH0X19Eda7T94SzrHqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4936d1e394e6516 |
|
VISUAL
aHash
|
00e7e7ffffc3d3c3 |
|
VISUAL
dHash
|
300c4d22080f2b16 |
|
VISUAL
wHash
|
00e7e7dfcf818181 |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
100c0c300e2b2b16,b2888e8896968082,aa808ca88c8c80aa,0000020414040000,ccacaeaeaccc1184 |
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 61 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)