Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E1A3FAF1F1F852BBA14387CCD159B13031F761BFFBC0921062F94B686666C8A681BD66 |
|
CONTENT
ssdeep
|
1536:H80twCfTarQJukJhhoHSuMBCeZEzfE/MqWRderu9kSqba5jS6bSChXe0kUd:AHbSfK |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bed42bc123d50adc |
|
VISUAL
aHash
|
ffdfdfffffff8d00 |
|
VISUAL
dHash
|
c42c290c2e002a0b |
|
VISUAL
wHash
|
7e009f87ffff0000 |
|
VISUAL
colorHash
|
0e000200090 |
|
VISUAL
cropResistant
|
c00d2c2c1c263418,d40b2bd4a2134da2,00030bcb2b0b4b03 |
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 827 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.
Pages with identical visual appearance (based on perceptual hash)
Found 2 other scans for this domain