Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T166D28632B0205A3B42D781C8B7A17B2EA2E74389DB49045596FD83BD4FD7E08DE33695 |
|
CONTENT
ssdeep
|
768:perMQRjdxYtBhXdfH4emuC7sOy2+y9BH4cLIe:3QRBxg5HzmuC7sOy2+UBH4cLIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c303b53adc2cbc8e |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
c9c8c0c0c8ccc100 |
|
VISUAL
wHash
|
002c70f0fc00ffff |
|
VISUAL
colorHash
|
31000c00000 |
|
VISUAL
cropResistant
|
028080004c888000,29c8c0c0c8c89cc0 |
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)