Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F4F1B72BC2043813169381987B62634AF7A6C189D71217D8B6F9C3AE7BCDDA584772F1 |
|
CONTENT
ssdeep
|
96:+zwzrfDBf4qcGyjw9zl/4zaAObGSpBdy+S0MdvtrMna9vaa5hFoogYUyng:+gDBPgUB/O4bG4ZEtge1hF9gx |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b6c3c89c6663669c |
|
VISUAL
aHash
|
ffffe7e783838383 |
|
VISUAL
dHash
|
68714d4c362f2f27 |
|
VISUAL
wHash
|
ffefe7e381818080 |
|
VISUAL
colorHash
|
07006000400 |
|
VISUAL
cropResistant
|
68714d4c362f2f27 |
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 27 techniques to evade detection by security scanners and make reverse engineering more difficult.