Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BDF2C7386399153EB48787E5F6B1B77DA19EC34EDB1B854CE6BC82B163C6C80DD12290 |
|
CONTENT
ssdeep
|
384:QEj4FcJcGB+ci7c7wRrK4uPY7+SdSSUhRd:QG4FcJc++ci7c7wRrnuPY7/gRd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c49634f4c6d7343c |
|
VISUAL
aHash
|
263c187e7c181800 |
|
VISUAL
dHash
|
ccf0b2c4f0f0f2f0 |
|
VISUAL
wHash
|
363e1e7f7e781800 |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
ccf0b2c4f0f0f2f0 |
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 48 techniques to evade detection by security scanners and make reverse engineering more difficult.