Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D484B570E210311E5363D38771E2CB8ED233A548DB23A66CEFA4912F67D9C750D62AD9 |
|
CONTENT
ssdeep
|
1536:j3T3NQor1ZghITATauz/CCoJDCTMQ0CdMyQCIaD0C4OYJCI/lbCeeBECjr+1CGn0:b7NdT6ngl0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e074197147c687cf |
|
VISUAL
aHash
|
42c17bd6e3dff97d |
|
VISUAL
dHash
|
9e95c2a5479b83c9 |
|
VISUAL
wHash
|
42c173c4215df97d |
|
VISUAL
colorHash
|
07001000201 |
|
VISUAL
cropResistant
|
9e95c2a5479b83c9 |
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 664 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 4 other scans for this domain