Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1373366217C85A63743A316C38D68FB6DB3D1B795CF114E91B9F4093E9BA3FA158030A9 |
|
CONTENT
ssdeep
|
768:U04nkzmdXyf+Lo1hXkkTzjX16gdLmkXAV0Jbp+vw3aWTWqhcet3lN8ZNkLoDf+JP:UwSn0mQso01A5MG |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e19a649e6d61659c |
|
VISUAL
aHash
|
ffffe7c3ffc3c3c3 |
|
VISUAL
dHash
|
62699a9630969696 |
|
VISUAL
wHash
|
fbbf83c31b030303 |
|
VISUAL
colorHash
|
01000000e00 |
|
VISUAL
cropResistant
|
62699a9630969696 |
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 30 techniques to evade detection by security scanners and make reverse engineering more difficult.