Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A8D2B6E1E204F83F068686E8E775326961CED39ED5D9121062E6C3B01DCBD2DEA7B4D1 |
|
CONTENT
ssdeep
|
384:I8Y4eKkQL0LogUfkA+64Ck9ScNweZEXS38muISK4fBmmIkHBuw9of0XrgjoqZ8VG:C4K4fVvnaaVk1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b09b318bcf64ce64 |
|
VISUAL
aHash
|
fffff7ffffc3c3c3 |
|
VISUAL
dHash
|
689d449669969696 |
|
VISUAL
wHash
|
ff4620003c00c000 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
689d449669969696,00b2b230b2ccb4f0 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)