Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11C34F85A3308462EF4334BC0E61272A6918FF3D7C152C5DCA6FA59316E03DB6A567EE0 |
|
CONTENT
ssdeep
|
1536:7QImfsV9KfHIIuBZErlO/WRWjQ23fO3UhKBt/CEHYcvO/WROBhQ3fChxnfCK2AAW:7QIUsV9lIu9Hc2vO3TT/CEHFK9QGh |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
956b28796c78c687 |
|
VISUAL
aHash
|
003e3e003e3e1e3e |
|
VISUAL
dHash
|
4a524c4664546666 |
|
VISUAL
wHash
|
803ebe003e3e3e3e |
|
VISUAL
colorHash
|
30200010000 |
|
VISUAL
cropResistant
|
c0e8682c29b4ad2c,a929ac84c6b2aa82,86868283aab80509,dcd53723239e96a2,c7daa7a7f2d999f0,264646965276d8c4,d94b663201d4ccc4,ecda9d9d8f98b132,4a524c4664546666 |
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 278 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.