Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7C2C6316110773B01A783C57791F76EA2E38249EB46080A53FC876E6FE7E54CE2352A |
|
CONTENT
ssdeep
|
768:PS5y5Nz1+7U4hwbiM5jxcf+7sOy2+y9BH4crIe:R+h6o+7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c343bc3c9c29e1e3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9cccc8c0ccc7e700 |
|
VISUAL
wHash
|
00f460782423ffff |
|
VISUAL
colorHash
|
31000000c00 |
|
VISUAL
cropResistant
|
0480800458988000,98ccc8c8e0ccc7e7 |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.