Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T108536C73A62479BE83CB41EDFB386E46B3C5945CD98A4050B5DCA3AD13C7CC27286B64 |
|
CONTENT
ssdeep
|
1536:aG+EsZ/8tejo5oDT1eJRCMjB3RnMjBUDrpRXPZlQaQD9OehM+BrUgq4z:aTxopRfR3DrpR/PkEeDz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf61cc38e3c4e0b2 |
|
VISUAL
aHash
|
838f8f8f8f9f9f9f |
|
VISUAL
dHash
|
6b77377b58367373 |
|
VISUAL
wHash
|
810307838f8f9f9f |
|
VISUAL
colorHash
|
07000000000 |
|
VISUAL
cropResistant
|
6b77377b58367373 |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.