Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10CE2A83271007A37029B93D9B372F71AA3A38285E7860405A2FD936D4FE3D94E637536 |
|
CONTENT
ssdeep
|
768:KSky5NyaM9M3J6QR0W17zG557sOy2+y9BH4crIe:xM/sm7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c361bc3aed08c7a3 |
|
VISUAL
aHash
|
000000000000ffff |
|
VISUAL
dHash
|
d08cc4c2caccdc00 |
|
VISUAL
wHash
|
0064fc702034ffff |
|
VISUAL
colorHash
|
310000001c0 |
|
VISUAL
cropResistant
|
0c0080025cd88000,d08cccc2cac8ccfc |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.