Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T165324023B600CD298DEB59CCF2C09A49151EC34AFB3189CA62A581FF7BC4DF0659979D |
|
CONTENT
ssdeep
|
192:Iq3J71G3c5cIchLlQCmh9taMcnthWeNWbsyVfMmUU8VCoVS:b1oc5cIchLlGjt6yVfMmUFCoVS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e62399996666cc99 |
|
VISUAL
aHash
|
6fe7e7e7ffffffff |
|
VISUAL
dHash
|
88080c0d00040000 |
|
VISUAL
wHash
|
67e7e7e700000000 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
88080c0d00040000 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)