Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A674B534E210311E5363D38B71E2CB8ED233A548DB23A66CEFA4911F67D9C750D62AD9 |
|
CONTENT
ssdeep
|
1536:j3KZr01ZgAqT1TaGz1CqO1qCUdJnC0w2xCLLrCCLDzHDCue6zCSDLQC+6qFCJp3y:bmfeFng4K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b066715353c6cf49 |
|
VISUAL
aHash
|
c0c3f3374fff5fdf |
|
VISUAL
dHash
|
0e96252c9a4d9698 |
|
VISUAL
wHash
|
a00371a7428f5edf |
|
VISUAL
colorHash
|
07211000001 |
|
VISUAL
cropResistant
|
0e96252c9a4d9698 |
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 712 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.
Found 1 other scan for this domain