Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T196735919611DACA76D33D5D0FC17AE06F292F30BA62894A267EB41425FEBC387D4247C |
|
CONTENT
ssdeep
|
1536:RW3H8ZUOS/cFpn9u6m/Z7UF1mUfGwKGrqL5LSuUBhGzYUfd+IkvbfsFtAGhArf/O:PoUaU4JAbu |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f070f0f078870f8f |
|
VISUAL
aHash
|
e0c000000000ffff |
|
VISUAL
dHash
|
9010e00000808255 |
|
VISUAL
wHash
|
ecff00000d00ffff |
|
VISUAL
colorHash
|
00000000e00 |
|
VISUAL
cropResistant
|
323b692dcd8d3557,9010e00000808255 |
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 68 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