Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T183C2FDB2A3F8652E90CEC7F2CB1537EF35E6620BDF074488E6D0D215A34ADA1EC51694 |
|
CONTENT
ssdeep
|
384:prHUNwUBJloKssssqjssssMsGssssH7ssss8IsssHtsssspKssssqjssssMsGssm:FHUGUBjoRYjgjjRYjgj8y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b36632999999cc66 |
|
VISUAL
aHash
|
e7e7e7ffe7e7ffff |
|
VISUAL
dHash
|
4d4d4d324d4c3232 |
|
VISUAL
wHash
|
c3c3c3dbc0c8d8d8 |
|
VISUAL
colorHash
|
07000000180 |
|
VISUAL
cropResistant
|
4d4d4d324d4c3232,038ce8c8c9b3929a |
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 219 techniques to evade detection by security scanners and make reverse engineering more difficult.