Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB412D71C4C7163B4282D8887242F2F95A7059F0FB214E0DB6F543186B99F9380D60FD |
|
CONTENT
ssdeep
|
24:hnCAMZhvJsh+gM4WWc2u832FD2Q26qpY2JHNWf6DiR8OGiL:+0zWWBvGFKd3bJk6WR818 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f676cccc66128b49 |
|
VISUAL
aHash
|
e6c60404e6ffffff |
|
VISUAL
dHash
|
0c0c8c8c0c696869 |
|
VISUAL
wHash
|
c686000400ffffff |
|
VISUAL
colorHash
|
06400010040 |
|
VISUAL
cropResistant
|
0c0c8c8c0c696869,96860e1d2c6c8e1f,25874ccac99d970b |
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 104 techniques to evade detection by security scanners and make reverse engineering more difficult.