Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T192F1A562A108440A1373C6C49BE6FD2D63AAF287C11DC5C4A59D00D99FD7EB0E963177 |
|
CONTENT
ssdeep
|
96:TGfzj4WAl9YjhEJjqIDSrZuAV5/2rGIqie/bKAx5m4G8QvklHtir13br77de6Kr:uzjYecF+rEAm+Rm2wx77de6W |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936c656c65c632e6 |
|
VISUAL
aHash
|
001c0c1c0c0c3c3c |
|
VISUAL
dHash
|
d2f9d9f8f999f958 |
|
VISUAL
wHash
|
303c3c3e3c1c7c3e |
|
VISUAL
colorHash
|
1b080002400 |
|
VISUAL
cropResistant
|
c1f8e6e8c8cc58d5,8b6939a487e7e7e5,d2f9d9f8f999f958 |
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 47 techniques to evade detection by security scanners and make reverse engineering more difficult.