Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14413B63128C4272F55A383C5A3206F1BE3DAC745E3BA894DE1DA831B42C5D59DC67BAC |
|
CONTENT
ssdeep
|
768:EfOI7Lip3bp1cZZOuXFTt9LolmA5WO/++neR5KFnqdLh2GGTedkEJwX:EfOkiprp1cZ4uXFTtGgA5WO/xsYm0edo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9416ebcac9fa8896 |
|
VISUAL
aHash
|
fd0006060604ffff |
|
VISUAL
dHash
|
61ecccccecec3b33 |
|
VISUAL
wHash
|
ff0606060604fffb |
|
VISUAL
colorHash
|
160000001c0 |
|
VISUAL
cropResistant
|
002189217189014a,96d6e8b094710f8e,c0183b4c3b330313,ecccccecccececec |
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 174 techniques to evade detection by security scanners and make reverse engineering more difficult.