Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1309110719412A52B062798E4F4752B1EF1E7C30DDA2B0860E7ED03C99FCFDE085625A9 |
|
CONTENT
ssdeep
|
96:7iHZE2xRVPsRzSTuSTPqKy17lQ5AQyxIrrjFO:mSaRVE0HbZy1mI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8f66f08985f07a0f |
|
VISUAL
aHash
|
ff0000ff3f18ffff |
|
VISUAL
dHash
|
a24045cc70710855 |
|
VISUAL
wHash
|
ff00003f1f00feeb |
|
VISUAL
colorHash
|
07200030000 |
|
VISUAL
cropResistant
|
a24045cc70710855 |
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 69 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 2 other scans for this domain