Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17C8395719355063F121B0AD860B16B1F31EBD30DEA47981863FC43A76FD7CA0CD96A69 |
|
CONTENT
ssdeep
|
1536:DS4AmJOnWtDBFEpxWq/MtGKjK5KmWKgJKRKQzK6TKMrQYEKSwIKMIYK3rbALRb6R:2TZ/MtGKjK5KmWKgJKRKQzK6TKMrQYEe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e8a52788dc72765c |
|
VISUAL
aHash
|
c3c3d8d8dc430000 |
|
VISUAL
dHash
|
0793b2b2b0938b40 |
|
VISUAL
wHash
|
c3f3fadadec70000 |
|
VISUAL
colorHash
|
38000000180 |
|
VISUAL
cropResistant
|
0793b2b2b0938b40 |
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.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.