Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AA2A4726054263F129783C9BB12B73DA1D35288DB89191992FC4B5E8BDBFE0D81385F |
|
CONTENT
ssdeep
|
384:Dkzy5NPTsn6nNIIIIkBnZfsXcpx/fm+lRMIIIIIYJ3lk4D2hIYsOy2+y9BH4cUUl:gzy5NPg6NIIII+dRMIIIIIYVlkIi7sOn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c1439333bf3435e4 |
|
VISUAL
aHash
|
007c30000000ffff |
|
VISUAL
dHash
|
dae0c660c4d0c400 |
|
VISUAL
wHash
|
62fc70303000ffff |
|
VISUAL
colorHash
|
39c00018000 |
|
VISUAL
cropResistant
|
754d6b636b6b1233,792b8b8a8a8b8b8b,a7276622ab63239b,1080900458988000,d6e8c0c460c4d0d4 |
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.