Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C9A38933411875274437C6D430A55B3BE2E68A4FFA970A014EECD7FA2BFACA0745B15A |
|
CONTENT
ssdeep
|
1536:xKf5Lz4NP/y9svbliCdEtp+STEuYFtWAuCa2nX2ZP4:UfZmANtMSTEuT4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c32b953af42cbc0e |
|
VISUAL
aHash
|
0000000000007fff |
|
VISUAL
dHash
|
c8c8c0c8c8c4c998 |
|
VISUAL
wHash
|
002c70f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
0000000118588090,69c8c0c0c8c9c4c8 |
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 54 techniques to evade detection by security scanners and make reverse engineering more difficult.