Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D442B63AB284273606C34672F727A7EAF778C18AC22B428868F5815D3BD5D9086377D5 |
|
CONTENT
ssdeep
|
192:dElj8Vehv77h1fjMGX7MuMIMwtkTYUCMD2+4lKeD2ezHCl8hCcmFFFjOob6:dI4Yhv/DhgzUk8AD00IJmTOo2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c01f6eb3c6e10c3d |
|
VISUAL
aHash
|
7e18187e7e7e6070 |
|
VISUAL
dHash
|
ecf0b2c0c4d490e4 |
|
VISUAL
wHash
|
7e00187e7e7e7070 |
|
VISUAL
colorHash
|
38001000180 |
|
VISUAL
cropResistant
|
ecf0b2c0c4d490e4 |
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 7 techniques to evade detection by security scanners and make reverse engineering more difficult.