Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DFF154E1C044DC3A531385EAB7F5279FB597C348DB024E8853F853EA4BDAC60C923A99 |
|
CONTENT
ssdeep
|
96:TkfFbkhOlzH0X0eGCVd7BEewvlhelXJHlhedXu4/PeVdkrQPJ:QfFbkhOlzH0XsCTBEQ/Ww4XesrQR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf8f0f174e1d40e0 |
|
VISUAL
aHash
|
3fbfffffe7070700 |
|
VISUAL
dHash
|
686020300c383803 |
|
VISUAL
wHash
|
1ffeffdfc7000000 |
|
VISUAL
colorHash
|
07202018000 |
|
VISUAL
cropResistant
|
686020300c383803,8a5945452b2b174d |
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 64 techniques to evade detection by security scanners and make reverse engineering more difficult.