Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T12B32C6B21244193F661747CCF5AAB368B2A68288DF1E10A4E2BD03E45BD7DE4FC37165 |
|
CONTENT
ssdeep
|
192:XxZSJQJM2C9KNQDJaFbwLGg39GlgSzro/966XrGdthLcZVEHFvGHyvJX/ZFh3u/O:Xx4QK2VNQD4Fbj2GeSwV66X6dthLcvEt |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c95ce7e306296936 |
|
VISUAL
aHash
|
809c98187c606a62 |
|
VISUAL
dHash
|
28303371c9d3d6c4 |
|
VISUAL
wHash
|
c0fc98187ce9eb62 |
|
VISUAL
colorHash
|
380030000c0 |
|
VISUAL
cropResistant
|
28303371c9d3d6c4 |
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 474 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.