Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16DF26431A151AD3B40ABD2E9E3A5632B22D6938AC947034593FC83BD0FEBD84FD36554 |
|
CONTENT
ssdeep
|
768:Ygarx4uiZIlcoy5WRHAGK/9ImnthSOwfAmMY8y67Uh:Y/iZIlRcSOw4IAUh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
be2ac1ea5f2b412a |
|
VISUAL
aHash
|
8987878f9ff3f3fe |
|
VISUAL
dHash
|
2b1d3d292dc70706 |
|
VISUAL
wHash
|
8187838785e1f1fe |
|
VISUAL
colorHash
|
070010001c0 |
|
VISUAL
cropResistant
|
2b1d3d292dc70706 |
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 33 techniques to evade detection by security scanners and make reverse engineering more difficult.