Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C624F77062705D69148B83E4E7B5B72A32A786DADF0612A5C2F5039CF3C3CD8EC67994 |
|
CONTENT
ssdeep
|
1536:iY1tWm4SLRUmMYXN9eCOcQCUYgErcSh9cbaA08/hib6O4j3zxJwUBFMckBFXcDgM:iy4mOcQCUYgErcETh4BXpesM5OskEamC |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e347bc1835d361cc |
|
VISUAL
aHash
|
0000000000ffffff |
|
VISUAL
dHash
|
9ce0c5cc9692880e |
|
VISUAL
wHash
|
0000202077ffffff |
|
VISUAL
colorHash
|
020020001c0 |
|
VISUAL
cropResistant
|
239491c000080e96,9c98e5c1cdccd696 |
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 58 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.