Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D1D28932A0106B3742E792EA7362675FA2F35349D646080195FCD3EE1BF3E55CA33A16 |
|
CONTENT
ssdeep
|
768:SQy5NTFh4BhhCME13vfOTqA+KhRIVlERJeAOM7sOy2+y9BH4c1Ie:4WBhoX13vmTqbKhRIVlERJeAOM7sOy2t |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9265fc32cd1c91e9 |
|
VISUAL
aHash
|
002000000004ffff |
|
VISUAL
dHash
|
9cccc8e0c8cc3c00 |
|
VISUAL
wHash
|
40fe6c00004effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d714d96,1080800458988000,9cccccc0e0c9cc3c |
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.