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
|
ec69c89796247b94 |
|
VISUAL
aHash
|
c1c1c1c3f7bc3e3c |
|
VISUAL
dHash
|
979397875469e4e0 |
|
VISUAL
wHash
|
c1c1c1c3f23c3e7c |
|
VISUAL
colorHash
|
0b3c0008000 |
|
VISUAL
cropResistant
|
f0f0e0f0f0f0f0f0,90d0d0c0e0f0e0f0,faf2f3e4e4e5e9c8,b9b8f8f8f8787878,7876eedc983833e7,e9e1f0e0e0c08181,73e8f4f0f0f0e0c0,979397875469e4e0 |
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.