Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T188C29331B110363F0297C3C9B761B36AA2E3524DEB46080953FC936D5BE7E54EE6352A |
|
CONTENT
ssdeep
|
768:RSzy5N2N6DKgxEbfJ8kUiuew/7sOy2+y9BH4crIe:sgWfJbUiZI7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c341f53a963cb9c1 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c2c3e8cd098b00 |
|
VISUAL
wHash
|
60fb70200405ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
0080a00458988000,c8c2c3c2c8ed090b |
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.