Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15FD2B972A2107A3B4293C1D672B1572E62E3434FEB460516A3FD87AD0BE7D14DE2731A |
|
CONTENT
ssdeep
|
384:zeadI6bDxgQkB+/DGJBKWj5sN2r2gZfKgll01QbIIYsOy2+y9BH4ciUIe:zeadXxRDG5j5skrlu7sOy2+y9BH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d605b430bd34edc6 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
94cce4c8c8888c00 |
|
VISUAL
wHash
|
027c7c306004ffff |
|
VISUAL
colorHash
|
31010001600 |
|
VISUAL
cropResistant
|
8c08808158d88000,d4ccc4c0c8c8888c |
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)