Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E64309B3435CA63B4501C782D7663B38E347958AF3948180EBE44B6D9DE6DF3E936122 |
|
CONTENT
ssdeep
|
1536:Wl9on/v6Nv3fdTpWm+ESxPilGTwc/yLo3:Wl9oaNndN9+ESxPHTwc/yLo3 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a12cfcfcd1b9206 |
|
VISUAL
aHash
|
3c04040c383c18ff |
|
VISUAL
dHash
|
612d4d7971617148 |
|
VISUAL
wHash
|
3c1c241c3c3c3cff |
|
VISUAL
colorHash
|
00007000000 |
|
VISUAL
cropResistant
|
808080888989a0a2,e896a9ada9b3c4e0,62e8c8e8e0d8caca,f0aca8988c9484e4,6260606060606062,612d4d797161714c |
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 700 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.
Pages with identical visual appearance (based on perceptual hash)
Found 1 other scan for this domain