Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F5A2A57264B12567129F37C8F8A07B5D39A7E30FE6235BD193BA42800FC0D9BAA37515 |
|
CONTENT
ssdeep
|
384:/8sTmWZkpfdUg+8CkQ4ANNibi44EFylpyuDa:/8omWCdCr4AQbiVyue |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8abdc63f8d1d1642 |
|
VISUAL
aHash
|
ffff0f0b01000070 |
|
VISUAL
dHash
|
6e4fbeb6b71de5e5 |
|
VISUAL
wHash
|
ffff1f0b03003071 |
|
VISUAL
colorHash
|
060010001c0 |
|
VISUAL
cropResistant
|
60664e7862800602,d99d89bdf9b12133,6870767677746365,79f6b7b78d5de5c5 |
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 11 techniques to evade detection by security scanners and make reverse engineering more difficult.