Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T146D29732F1042A3B5293C3C5B7A1F71EA2E3D249EA85091563FC875E4BD7E54DE2342A |
|
CONTENT
ssdeep
|
768:ReFy5NRi2iZpheW6kNw0eIY38yA7sOy2+y9BH4crIe:U2iZph6kOvHC7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363d43e9c29a5c3 |
|
VISUAL
aHash
|
002020000000ffff |
|
VISUAL
dHash
|
9ccdc3cbcd8cd300 |
|
VISUAL
wHash
|
00fff1310000ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
d200c00258d88000,dccdc5c3cbcd8cd2 |
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)