Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D87345BC241606D7647786DA7831AB8592DEF31FDB1B85093BE806152EF7CF0A891E70 |
|
CONTENT
ssdeep
|
1536:BZO/gnpiIVg7pikwHKpCHI/YnK29x/29x/29x/29x/29x/29x/29x/29x/29x/2w:BZ0gn7 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c3c73bc8c36d932 |
|
VISUAL
aHash
|
0018181818182c3c |
|
VISUAL
dHash
|
a469b2b032324848 |
|
VISUAL
wHash
|
7a3c181e1c187e7e |
|
VISUAL
colorHash
|
38000001e00 |
|
VISUAL
cropResistant
|
a469b2b032324848 |
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 5065 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.