Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16312D1F2D050D936076341C5B676BBAF77E1C288CF121A2413F853AA6BCFE91991149E |
|
CONTENT
ssdeep
|
192:P9zYhh/s/A8iI4D+AZu9ZNzZ0ZNJAhlU8F:5G/s417D7Z4ZdZ0Z0ha8F |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b0fc8773827630f2 |
|
VISUAL
aHash
|
e7c3c7c7cfc3e77f |
|
VISUAL
dHash
|
0f16969696960fc8 |
|
VISUAL
wHash
|
00c3c3c3c3c3e73f |
|
VISUAL
colorHash
|
07080006000 |
|
VISUAL
cropResistant
|
0f16969696960fc8,144d656464644909 |
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.