Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13BD29432A000363F12A783E97B51F75EA3E35649E646061693FD835D0BD7EA0DE1392B |
|
CONTENT
ssdeep
|
384:USFy5NUy5MDhZmaB4DtsfBRjn/MoI+tkcsIUWTIYsOy2+y9BH4cCUIe:USFy5NUy8hZ3//GFU7sOy2+y9BH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d373f82ecd2c81c1 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
0c08c8c0c80c9f00 |
|
VISUAL
wHash
|
00ece4203c06ffff |
|
VISUAL
colorHash
|
31e00010000 |
|
VISUAL
cropResistant
|
0680a00458988000,9408d8c0c0cccc8f |
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)