Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B331F306411EA3B01CBAAD46676572AA6E58345C6230289FBF5C3F91FEFC6DCA37114 |
|
CONTENT
ssdeep
|
768:ZxsIx/j4pv8rYTvKGr07yMAs6G9NhMiUf7OGBH+K0PN:DsIxJrYTvKGr07yrXG9NhMt7OfN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a147c6b6963632d3 |
|
VISUAL
aHash
|
00000000ffffffff |
|
VISUAL
dHash
|
cce3cbd506060faa |
|
VISUAL
wHash
|
00000000ffffffff |
|
VISUAL
colorHash
|
060000001c0 |
|
VISUAL
cropResistant
|
4db33b4bb49252a6,5004160f0f17aaaa,cccde3f3ebd3dfbf |
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 56 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.