Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18EA37933411935274437C6D130A55B3BD2A6DA5FFAA70A010EECD7EB1BFACA0B45B11A |
|
CONTENT
ssdeep
|
1536:63KLz4NP/y9svbliCdHgX8F3fFtiuCa28y2O9:qUmAT89E |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b412c7ed92b869b2 |
|
VISUAL
aHash
|
3e040e8eeff3fffe |
|
VISUAL
dHash
|
e4d41c3c1e3717dc |
|
VISUAL
wHash
|
3c00048ecfe1d7fe |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
e4d41c3c1e3717dc |
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.