Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T139F10CF1D140ED3B435386D9A7BA6B0B76A2C349CF03064193F883AB6FDAC60CE15599 |
|
CONTENT
ssdeep
|
96:TkTnbzD71tDlt8v67McdvSS8LatN7ytWGwvFUQexXUHFaeNXpz/SZDd2J:QTnbzD715lt8iIGIa77yI0OL7zIdw |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4b24ecc4e9bb139 |
|
VISUAL
aHash
|
ffffffffffff0000 |
|
VISUAL
dHash
|
04061e0c26040800 |
|
VISUAL
wHash
|
ffc3c3c3f3f30000 |
|
VISUAL
colorHash
|
07001400600 |
|
VISUAL
cropResistant
|
00251e1e04060600,0000000000000000 |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.