Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109634432D7931913907BD1D8F072478D2252868DCB534B79A7BE63BAF9CFCB52612248 |
|
CONTENT
ssdeep
|
1536:qngZE0eQekezrzEf0W57rYupTtPg+eLIieznweeeZdp0QUUsEHK3MuCcGJiHve0d:SI57rYupJiUnqDcDq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b46dcd309392ce69 |
|
VISUAL
aHash
|
c3c3d3c7c7c7c7ff |
|
VISUAL
dHash
|
a6a6a69c8c8c9ccc |
|
VISUAL
wHash
|
02023307c7c7c7ff |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
a6a6a69c8c8c9ccc,595e197c0da91392,33b33329b4f4342e,192a67d6f0e8f161,979393133367192b,d033c5d414d55d11,336d5053556d6c6d |
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 20 techniques to evade detection by security scanners and make reverse engineering more difficult.