Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T109C29571A100273F02A3C2C9B351B72EA2E39349D7491C1A63FD876D1BE7E44ED2756A |
|
CONTENT
ssdeep
|
768:TSXy5NeN4ZQnzx1idU37yML2AzodmOd7sOy2+y9BH4crIe:84ZQnzx18oFzoDd7sOy2+UBH4crIe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d76bfd169029c582 |
|
VISUAL
aHash
|
000000000400ffff |
|
VISUAL
dHash
|
1c4dc3c3cc44e400 |
|
VISUAL
wHash
|
80f571300e00ffff |
|
VISUAL
colorHash
|
31000200030 |
|
VISUAL
cropResistant
|
008080084c808000,140dc7c3c9ccc4e4 |
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.