Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159F21A33E3487A3342A316D571CA47C5F2FA54599B128CB0FA9C857CB3D6CA52A371E4 |
|
CONTENT
ssdeep
|
768:m4q+66SqaCiW26ku8S5WAXAkXs/J0FmAf4q+66SqaFoeTeWe5BaLeUeKeAbneiew:JPQeTeWe5BaLeUeKesneieRmFveqVeb4 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed459a9a130ebe13 |
|
VISUAL
aHash
|
00000000e3ffffff |
|
VISUAL
dHash
|
22c6c6d6d6363f2f |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
03000007000 |
|
VISUAL
cropResistant
|
29392be62654d5ca,c4809aa6a680c0d4,073730033b272c2f,c822c6c6c226d6d4 |
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 13 techniques to evade detection by security scanners and make reverse engineering more difficult.