Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T189C28831A2005A3B529382EAB2A1B72F51E7830ADE86051563FD43AE0FD7F5CDF63459 |
|
CONTENT
ssdeep
|
384:LQepV/iIRxLzEYRuP9xyHx6X+/WWoD1VCNVnCIYsOy2+y9BH4ciUIe:LQepVtm9O++/W9UVC7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d247dd329139b989 |
|
VISUAL
aHash
|
002000000000ffff |
|
VISUAL
dHash
|
d8e4e0c8cd8d8300 |
|
VISUAL
wHash
|
0c7c30206445ffff |
|
VISUAL
colorHash
|
39030000200 |
|
VISUAL
cropResistant
|
0080800030b08000,98cce4c8c8cd8d8b |
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.
Pages with identical visual appearance (based on perceptual hash)