Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16B241DB07110D8760B937E96F1257F11B9B6A89EEF8B3C8093FC459C4BE2E98C489754 |
|
CONTENT
ssdeep
|
1536:YGCLj5jmjXj9jQ7wedcuyVppk14fztC3oSWvrUH1NXyISVlk4U4reSe3yoGey/e9:YJovFaHOuRxD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c437e4cb2bc8996c |
|
VISUAL
aHash
|
0306460000fefc70 |
|
VISUAL
dHash
|
2dc494aaa7c888a7 |
|
VISUAL
wHash
|
8767470200fffc71 |
|
VISUAL
colorHash
|
08006000000 |
|
VISUAL
cropResistant
|
73e36a605436b661,b26c47511189c325,2dc494aaa7c888a7 |
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 169 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.
Pages with identical visual appearance (based on perceptual hash)