Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10673DA2180C43B1700B323C5F793C78BE2C5E148AA258717D59AC79F61CD9BCED5AA9E |
|
CONTENT
ssdeep
|
1536:mmIIeyoMH+JWeGh5WsPn+cgkQhT5H/iLF7pndX0Pz4npZRdVpg:m++AWsmXkQx5Q10kng |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c3c73039d1b2ce8e |
|
VISUAL
aHash
|
64203c7c3c002c3c |
|
VISUAL
dHash
|
d4c8e9d4f0e0c8c0 |
|
VISUAL
wHash
|
7e603c7c3c303c7c |
|
VISUAL
colorHash
|
38000010001 |
|
VISUAL
cropResistant
|
d8d888a838a4a6a4,d4c8e9d4f0e0c8c0 |
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 326 techniques to evade detection by security scanners and make reverse engineering more difficult.