Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T121D2C83370146A3B02D7C2D9B662673F92D3534EE7460D01A6FC43AE4BABD94CA37616 |
|
CONTENT
ssdeep
|
768:MQy5N0wVGNo1CuTXybBT+Lx6VpySfsG8CZKigJOk4lfqXenqaEpZATR7sOy2+y9B:B8GNo1CuTXybBT+Lx6VpySfsG8CZKigo |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9264fc32cd3c91e9 |
|
VISUAL
aHash
|
000000000004ffff |
|
VISUAL
dHash
|
8cccccd0c8cc3c00 |
|
VISUAL
wHash
|
40fe6800204effff |
|
VISUAL
colorHash
|
390410002c0 |
|
VISUAL
cropResistant
|
ca754d4d4d714d96,1080800458988000,9cccccd8f0c9cc3c |
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 8 techniques to evade detection by security scanners and make reverse engineering more difficult.