Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B33613661046E7F128382C577B57B9EB3D6D289CB97062A67E8C30C07D7E90CD36962 |
|
CONTENT
ssdeep
|
768:H+/EmG2L+IV/66e+kCwgo3TWFTf9pYL+C9sTNc3PJcb7SuQIJuXtMq:4JpL+IFlTomTVCL+C9PJKSuQIJMV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f64cc93791374a29 |
|
VISUAL
aHash
|
f0f0f0e6868686fc |
|
VISUAL
dHash
|
6424242c2c2c2cd0 |
|
VISUAL
wHash
|
f0f0f0e6868686fc |
|
VISUAL
colorHash
|
03000008030 |
|
VISUAL
cropResistant
|
61311333333333c8,04d0c6c474647058,6424242c2c2c2cd0 |
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 14 techniques to evade detection by security scanners and make reverse engineering more difficult.