Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AF73E75080D1750DB50F5829E57CDB1E292ED288CE5A9FE9933E66F23BC2FE8A43544C |
|
CONTENT
ssdeep
|
768:ouwCYTdgMO1kAinflj5iDePHJgb6kFvI/CWq5CZpB0W0:mCYdmYZ5iDePHJgbpI/Cv5WM |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
936c79326c419fc3 |
|
VISUAL
aHash
|
00007e7c7e7e7e2c |
|
VISUAL
dHash
|
91c8c4c4ccd8d8d8 |
|
VISUAL
wHash
|
00007e3c7e7e7e3c |
|
VISUAL
colorHash
|
03007000000 |
|
VISUAL
cropResistant
|
91c8c4c4ccd8d8d8 |
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 12 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