Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FD8309A43A59F5A65AF3439310DF1503B378162B140D4D606350ECAEB6BCC9FA0A7FDA |
|
CONTENT
ssdeep
|
1536:hTVq53QlHxh8N6g8XXhjaPnQWT+960uJ+pI2:hTj/mN6ZXt1967+pJ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1647cd2f67c2087 |
|
VISUAL
aHash
|
830303032f4f0f0f |
|
VISUAL
dHash
|
0e96d6dedada5aba |
|
VISUAL
wHash
|
830303073f6f0f5f |
|
VISUAL
colorHash
|
0ee00008000 |
|
VISUAL
cropResistant
|
7e3e7edcd8e67c30,7958183aa2928282,cc1c3a1a37270d98,be726565a1b9dd97,8c8c1911101c3631,8362b279f8f8fcfc,034d4d45f64e4ed6 |
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 26 techniques to evade detection by security scanners and make reverse engineering more difficult.