Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T190C28731A0106A3B1197C2D97361A33FA2A3924EEB87051692FD836D8BF3D64DE33517 |
|
CONTENT
ssdeep
|
768:4Sby5NaXtF3O/w8FJwljlixbQfjoiyMy0nWbMRIPf19ZiS57sOy2+y9BH4crIe:fdF3O/w8FJwljlixbQfjoiyMy0nWbMRY |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d365fc12cd1c90e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9ccccce8d8cc3c00 |
|
VISUAL
wHash
|
40f66a20004effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca714d9e9e714596,1080800458988000,94ccccc8e8d9dc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)