Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E212D7502969DC2245EF49EE94334A6968FC5314C45A16ACFC3C83F08BBECADCA37860 |
|
CONTENT
ssdeep
|
192:0yHEH0UkvFm0FPyNJ5InH0UkvFm0FPyNJ5I0j+SsE:BHXUkg0RyNXUkg0RyNfj+SsE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3b6a6a626e33c94 |
|
VISUAL
aHash
|
663c7c7c3c7c6c3c |
|
VISUAL
dHash
|
c4d4d0c0d0d0d4c4 |
|
VISUAL
wHash
|
663c3c3c3c2c7c3c |
|
VISUAL
colorHash
|
38006000000 |
|
VISUAL
cropResistant
|
c4d4d0c0d0d0d4c4 |
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 44 techniques to evade detection by security scanners and make reverse engineering more difficult.