Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10B0232E1C418DC37031286D9B7B57B0BB6A2C749DF030A8467F4837AABDACA0CA1559D |
|
CONTENT
ssdeep
|
192:QoWLa+sbLbYeanzYTf08iI6wyVFZtgcXdyUEFpQz:Qo8a+sbLbYeazj19weFZtYxo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b131cecece393131 |
|
VISUAL
aHash
|
ffcfc7cfffffffff |
|
VISUAL
dHash
|
009a9a9e04100000 |
|
VISUAL
wHash
|
81cfc3c3000cff00 |
|
VISUAL
colorHash
|
07007000000 |
|
VISUAL
cropResistant
|
009a9a9e04100000,4d51717161316945 |
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 59 techniques to evade detection by security scanners and make reverse engineering more difficult.
Pages with identical visual appearance (based on perceptual hash)