Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181D22AF3608421F11343E7E6F22672A6B48311BF7AB49870F2B84756E3F98ADC451D5A |
|
CONTENT
ssdeep
|
768:v6IlxPCluc4OXDSQo+hwr5bPidXT3X0tOWKPidXT3X0tOWyx:r5GV/WlV/WS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a367cd2821cfcd31 |
|
VISUAL
aHash
|
c300e7e7c3ffffff |
|
VISUAL
dHash
|
0e4c694c8e700400 |
|
VISUAL
wHash
|
00002427c3cfffff |
|
VISUAL
colorHash
|
07000001038 |
|
VISUAL
cropResistant
|
0e4c694c8e700400,038b231b1b23db00 |
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 616 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