Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E153099938946016477340E394BB2A8AF7391C2FB91C55E1A0B4CBE572BC8F5316BF4B |
|
CONTENT
ssdeep
|
768:LyWu/P5uyWz/u8C1vWs9Z1D58n+zvPbFUWSfUNqbLx9X8UpVFdSgH7gQ9Af5HqjG:xkWCiyOloQzZs8oWQbp |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33376333126cccc |
|
VISUAL
aHash
|
c7c7e7c7cfc7c7c7 |
|
VISUAL
dHash
|
0d1c0e1c1c1c1c1c |
|
VISUAL
wHash
|
c7c3c3c3c3c3c3c2 |
|
VISUAL
colorHash
|
074c1000000 |
|
VISUAL
cropResistant
|
0d1c0e1c1c1c1c1c |
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 693 techniques to evade detection by security scanners and make reverse engineering more difficult.