Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17171423030495A3B74C243C6EBB1D31B628D4188DB87AB0836F8635E9DDBE99CD40695 |
|
CONTENT
ssdeep
|
48:DMCkpIe0ODE3FdLyZrZs8hPwL30/BXLdibF8F46HeUVXk4I1U9DBZ2c9u:Drvr3FJVgw4/lMxc9HeSXk4Im9FZ23 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd69696998d79298 |
|
VISUAL
aHash
|
71617e7e9e5e2000 |
|
VISUAL
dHash
|
c3c3ccc4b4b44314 |
|
VISUAL
wHash
|
f0e0fefe1e7e0000 |
|
VISUAL
colorHash
|
07c00008080 |
|
VISUAL
cropResistant
|
c3c3ccc4b4b44314,dcde86b6e64c7831,eccc6c3835273232 |
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 10 techniques to evade detection by security scanners and make reverse engineering more difficult.
| ID | Portuguese | English | Trigger |
|---|---|---|---|