Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T131946370F120315E5737C39F25B19F9DC273F94CC732A65CAEA4A12F2A99CB20E16994 |
|
CONTENT
ssdeep
|
1536:23TQ5B1ZgbITfRVzTZfwWkDQitwQiaDY/uFi7Ju3bKtjHCuAGe1XKmYGmhvufvPV:0cnJdsNoNuNxNmNMNW0777771 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bd4c96c761714547 |
|
VISUAL
aHash
|
a69f9989e3ff8f8f |
|
VISUAL
dHash
|
6a20233b03221818 |
|
VISUAL
wHash
|
269f9181c1bf8f07 |
|
VISUAL
colorHash
|
07007000001 |
|
VISUAL
cropResistant
|
6a20233b03221818 |
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 654 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 8 other scans for this domain