Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EFC295726154263F02D7C3DBB361BB2FA2E38249DB4A091552F8835D4FE7E90D91392A |
|
CONTENT
ssdeep
|
768:tSCy5NJa2pXNDcOIait4x7sOy2+y9BH4crIe:32pXHvCa7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8363fc3af068c3c5 |
|
VISUAL
aHash
|
000020000000ffff |
|
VISUAL
dHash
|
1c59c2d0d8fdf500 |
|
VISUAL
wHash
|
003f38181c0cffff |
|
VISUAL
colorHash
|
11018000600 |
|
VISUAL
cropResistant
|
2080802058d08000,1c19c2c8f0d8fdf5 |
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.