Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1853312306900DD3701CB66C8A772577A22F58341CA13068AFBF5C7B99BEEDA9CE36154 |
|
CONTENT
ssdeep
|
768:/vsIx/jzBjIb7kvVgAle1AL8xIzSL+8UUf7d:3sIxfBjIb70Vplxh877d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33c689ee758386c |
|
VISUAL
aHash
|
0000002e3e7c7c70 |
|
VISUAL
dHash
|
b5f4f8c8ccc8c8c0 |
|
VISUAL
wHash
|
1010002e7f7efefc |
|
VISUAL
colorHash
|
30019000600 |
|
VISUAL
cropResistant
|
c1f0f0f8bcb4bc3e,8040069696064084,b5f4f8c8ccc8c8c0 |
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 1483 techniques to evade detection by security scanners and make reverse engineering more difficult.