Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F0D23AF3504021E21353E3E9F22672EBB88341BF6FA49874F5B80755D2E98EEC415E5A |
|
CONTENT
ssdeep
|
768:P6Ile469zYAgDDSQoYiS3BJPidXT3X0tOWkPidXT3X0tOWyx:TBoV/WbV/WS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a323cdc9a121cbcf |
|
VISUAL
aHash
|
fb0024c3ffffffff |
|
VISUAL
dHash
|
120c4d8e16200000 |
|
VISUAL
wHash
|
0000000300000000 |
|
VISUAL
colorHash
|
07000001180 |
|
VISUAL
cropResistant
|
120c4d8e16200000,008b631b1b23cb04 |
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 621 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