Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13E13956092506A3F005303C9E376B73E22F5A280D646114987FD87BA5FE9DE9FC279D4 |
|
CONTENT
ssdeep
|
768:2bqpPkUafl2IBVrrII380G4nZIhGdTmnX+6D0n:7c/II380G4nZIhGdTmnX+6An |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93936d6c3c1c6565 |
|
VISUAL
aHash
|
006c6c0c0c220000 |
|
VISUAL
dHash
|
29c9c929e8c6d8c8 |
|
VISUAL
wHash
|
416e6e3c0c727c7c |
|
VISUAL
colorHash
|
38000040600 |
|
VISUAL
cropResistant
|
945e7ab254d4f2ca,29c9c929e8c6d8c8 |
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 53 techniques to evade detection by security scanners and make reverse engineering more difficult.