Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T105F2B835B204663B5193C2DDB763B72BB2E3824AD747051583F983AC0FA7C99DE23619 |
|
CONTENT
ssdeep
|
768:goy5NEem0oIU5ifQhU9/f9EDF7sOy2+y9BH4c1Ie:UroIkifkU9Hw7sOy2+UBH4c1Ie |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c363b838cd23c5cd |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
9c09c5c9e0cccd00 |
|
VISUAL
wHash
|
40ecf060300cffff |
|
VISUAL
colorHash
|
39001000180 |
|
VISUAL
cropResistant
|
c880800458988000,9409c1ccc8e0cdcd |
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.