Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188E134E1C504DD37032285D6F7F56B5F7991C349CF07098493F842EBABDACA0CA26A99 |
|
CONTENT
ssdeep
|
96:nkCH9oh4lzH0XfeGUEdt7AUDwvFAeBX2HFkeNX5z/3t7HqQPJ:kCH9oh4lzH0X1UEdaUOQRfz/VqQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e44e61db71527c46 |
|
VISUAL
aHash
|
00e3c3c3ffffe7c3 |
|
VISUAL
dHash
|
0906869616200e96 |
|
VISUAL
wHash
|
00c3c3c3c3ffc3c3 |
|
VISUAL
colorHash
|
060000001c1 |
|
VISUAL
cropResistant
|
160686962e208e96,090909090c090909,2449c9c983a3eb49,41b0d4aae4c461f0 |
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 60 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)