Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A3D33321C6A41333D205078AE3DB7756669BC1C7CDA2BCF8A1708178DBB9D891C77DA2 |
|
CONTENT
ssdeep
|
3072:iYKOrjylK2E6IOZuagKI3ImJS2gcIYLQICeIkPksuGIyIhuBn9hR0F7T:bKMQ5IBf3NLR0R |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cd12ece2cd8d9133 |
|
VISUAL
aHash
|
ff00000000fffbfb |
|
VISUAL
dHash
|
257c7c72d3c33232 |
|
VISUAL
wHash
|
ff00001800fffbfb |
|
VISUAL
colorHash
|
1b0010001c0 |
|
VISUAL
cropResistant
|
00032723002a2a7c,4c03431313332232,7c7c5cf27272d3c3,9696c4ec8c292c6c |
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 73 techniques to evade detection by security scanners and make reverse engineering more difficult.