Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D053747112424A3B968393C4FB751B5EB3C6D396C6520C49BBF28B1BDFC6E61ED28160 |
|
CONTENT
ssdeep
|
1536:8IZcjIYe0MUAZfkFkqWCqVMbHfE0MkzDxsjckdkm:8E0MU0wxsP+m |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c33c689aa7e33a38 |
|
VISUAL
aHash
|
0100042e3e7c7c60 |
|
VISUAL
dHash
|
d532c8ccccc8c8c1 |
|
VISUAL
wHash
|
01002c6e7e7e7cf9 |
|
VISUAL
colorHash
|
30019000400 |
|
VISUAL
cropResistant
|
c1f0f0f8bcb4bc3e,8000609696867000,d532c8ccccc8c8c1 |
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 1599 techniques to evade detection by security scanners and make reverse engineering more difficult.