Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T138E2D9317100363B429F93CAB3A2F75EA3938249E74A0511A2FD83AD0BE7D54DA33526 |
|
CONTENT
ssdeep
|
768:VSky5NrD2NgjnXdCth7sOy2+y9BH4crIe:s2q7y7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c362bc38ed28c7c3 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
90cccccacacc8c00 |
|
VISUAL
wHash
|
0064fe706004ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
088080024c888000,d08ccccacad8cc0c |
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.