Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T125D2A632B114363B11A7C3C9B751F72AA2E3924DD746081653FC839D4BD7EA0EE2355A |
|
CONTENT
ssdeep
|
768:sSzy5Nl88v7Z7j/GsSHqP1mDge0F7sOy2+y9BH4c1Ie:Jg3+Ra1mDn+7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363f53ab018b9c5 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c3c3e8cde9c500 |
|
VISUAL
wHash
|
64f370340001ffff |
|
VISUAL
colorHash
|
31000000e00 |
|
VISUAL
cropResistant
|
c400a00158d88000,c8c3c3c2cdcdc9c6 |
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.