Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T187D208F7215821E11303E7EAF22732ABB883017F6EA598B4F1AC0756E3F98ADC415D55 |
|
CONTENT
ssdeep
|
768:36IlFWBOdz8bP/qiKa6mGDSQo7kXI2tqmPidXT3X0tOWJPidXT3X0tOWyx:I2tqpV/WoV/WS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666ce893129cdcc |
|
VISUAL
aHash
|
f3e7e7c3c3ffffff |
|
VISUAL
dHash
|
064d0d9e8e000400 |
|
VISUAL
wHash
|
c0e4e0c0c0fcfcfc |
|
VISUAL
colorHash
|
07000200058 |
|
VISUAL
cropResistant
|
064d0d9e8e000400,01100c32b2320c20,048b431b1b23cb00 |
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 923 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 10 other scans for this domain