Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B6C2C971A1007A3751A7C2D97362673E91E3470BD7420A2592F983BD07EBE94DE2783B |
|
CONTENT
ssdeep
|
768:xQepHqKo+yVOWrIP3p41fS7sOy2+y9BH4cLIe:L6wp41fS7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c247dd329139b9b8 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
c8c4e4c8cdcd8300 |
|
VISUAL
wHash
|
0c7c30006465ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98cce4c8c8cdcd8b |
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.