Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18A521A7EF22815A19B4343D6FE7122AAF10740BD96536BECD764C248B39DDBE8D208C5 |
|
CONTENT
ssdeep
|
192:QovoBO5tKM6u1zz6bEJ3zzo7UXku9cuGRmKbMpBXp7sfgg8gk:Qqok4uYEdoQUsmMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
fd28d2826586d6c7 |
|
VISUAL
aHash
|
c3818383c3ffffff |
|
VISUAL
dHash
|
2b1f270f0f330b0a |
|
VISUAL
wHash
|
8181818181bffffe |
|
VISUAL
colorHash
|
0f001000188 |
|
VISUAL
cropResistant
|
2b1f270f0f330b0a,b4ae3eab8b8b8e8f |
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 490 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.