Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10351421051D42B5CD6D541E1F2B01F8A1BE0807E9B52090C995EBB1FACE94A9D9372EE |
|
CONTENT
ssdeep
|
48:Im3Nte58Ze5FuYTaXTjgB5pVEmzk8aJ1yKF2/HYGbrqVII32D5:1e2Zehaj0B5pVfzEgKF2hbm32D5 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b33398cccc6687cc |
|
VISUAL
aHash
|
e7c7e7e7ffffffff |
|
VISUAL
dHash
|
0c0c0c0c14000000 |
|
VISUAL
wHash
|
03030303f0f0f0f0 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
0c0c0c0c14000000 |
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 967 techniques to evade detection by security scanners and make reverse engineering more difficult.