Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T113529B705406E937605389E5A2367F2B32E0874ACA6B068853FD93F85BC5D9CFD3299C |
|
CONTENT
ssdeep
|
192:a4Op1jv+2uRQaXK4WKZK4WKzYbIHlxDCbF:a1p1KbK43K4CUHe |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
989c676766323473 |
|
VISUAL
aHash
|
101c1c1800183c00 |
|
VISUAL
dHash
|
34b2303022b0c850 |
|
VISUAL
wHash
|
1e3e1e3e003c7e3c |
|
VISUAL
colorHash
|
38400038000 |
|
VISUAL
cropResistant
|
34b2303022b0c850 |
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 469 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.