Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T14F736434A11106B78973CAC4E6256B5834DBB30FDA8A46158BFCC6B49FE9CF8B814C5D |
|
CONTENT
ssdeep
|
1536:i56XOlrJLgbnOrWrO0LgbAXOOrt2XXnSoqdkGdwuGqdlZfGFGRGJ5TGQGTGcGLDD:iPFLgbOSdLgbskb410 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b93e46c6c633b486 |
|
VISUAL
aHash
|
000083c1ffffefff |
|
VISUAL
dHash
|
653b1b1fe40b0b52 |
|
VISUAL
wHash
|
00008181ffefe9ff |
|
VISUAL
colorHash
|
072010000c0 |
|
VISUAL
cropResistant
|
0c65678e61796080,3b1b1f51740b1bf2,0000186169691c20 |
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 12 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.