Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D3308727300047EA21BC7C9FF217E2D508BF36FEA9788D0E1AA56745AC7D95AE25C10 |
|
CONTENT
ssdeep
|
768:k9GHMmHe9GIQdhwIqqee89GHMmHURnnzggWunS:M1vr51caS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f0607c9f9f8f8380 |
|
VISUAL
aHash
|
800040ffffffffff |
|
VISUAL
dHash
|
0696944031393939 |
|
VISUAL
wHash
|
000000bffddddddd |
|
VISUAL
colorHash
|
060000100c2 |
|
VISUAL
cropResistant
|
0696944031393939,860636263626a49c |
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 1081 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