Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17313B63962482B3D761787E8F2A17B789299C34ED26B452DF6BD027177C2C95E8332D0 |
|
CONTENT
ssdeep
|
768:PqXEf+59do0gdpjd311O18q5sQTryKl6RFdo:SV5odpCyKlgo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e94b929649e84e4f |
|
VISUAL
aHash
|
fd9999d9b9bfffff |
|
VISUAL
dHash
|
697b7333637689cc |
|
VISUAL
wHash
|
bc888081a1e3ff7e |
|
VISUAL
colorHash
|
07200000280 |
|
VISUAL
cropResistant
|
697b7333637689cc,e4723d0e87c7c1d0,996c7637030341c9 |
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 56 techniques to evade detection by security scanners and make reverse engineering more difficult.