Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T177A17703B717B6350F9B43ADA8A292DE1B5485C4E33E27C5599B439E23C85C5CA3BED0 |
|
CONTENT
ssdeep
|
96:T4XrbXaIsRfWAMVjbb+/I4dC8P9NHEkFrh5q4eQ1G6VmzIJYf:2rzavfJKTYICfkqrhQ4eQIGM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9b9364649b9b642d |
|
VISUAL
aHash
|
3c300c3c1c000000 |
|
VISUAL
dHash
|
4164795939061202 |
|
VISUAL
wHash
|
3c3c2c3cbcc3c3c3 |
|
VISUAL
colorHash
|
38400400040 |
|
VISUAL
cropResistant
|
7438383c3cbc9dac,fef9e9c1e1e7e4e9,4164795939061202 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)