Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B62E86130C5F52E0366D3CFCFA35F1DF28BE366D6229E0AB5A18B0556D9A63C8E510C |
|
CONTENT
ssdeep
|
384:LZqWk2k44w3pYWulu+uGhpXJ42g6kXEwcZRzpi6JUpaKdIBqrcJ5z/8WiTEnYGBP:Xk4BOHFBP/3xQK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c664963cb23197ce |
|
VISUAL
aHash
|
043070603c3c7c7e |
|
VISUAL
dHash
|
dce4c1de6970f0dc |
|
VISUAL
wHash
|
043030603cfefefe |
|
VISUAL
colorHash
|
18007000000 |
|
VISUAL
cropResistant
|
dce4c1de6970f0dc |
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 18 techniques to evade detection by security scanners and make reverse engineering more difficult.