Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CED26F316141AE3742E3C6D4A7366B4FA3D2C28ACB631B0963F9935C6FDBD94EC52241 |
|
CONTENT
ssdeep
|
384:C0YE3G5Rm+FqOhYKsYp0y9PbOY8Wv/Z71KuHI/:a/5g+FD+YCyL8Wv/xLU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91b36c689197e09f |
|
VISUAL
aHash
|
42007e6e4e400000 |
|
VISUAL
dHash
|
9633ccd8d89449d2 |
|
VISUAL
wHash
|
46007efe7e6000ff |
|
VISUAL
colorHash
|
06003018000 |
|
VISUAL
cropResistant
|
e1d21b1636349cde,8197b2b3b68e962b,8dce9e5f4b4f4585,9633ccd8d89449d2 |
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.