Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T17AD39378F110205E5737C3DF75B28F99D273B98CCB32A258EEA4A12F26D5CB20D12995 |
|
CONTENT
ssdeep
|
1536:m3T34bP591ZgbITfauzLiw/tZiuLDKFHz8uVQl/6lDN2:k74/6/K |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b816c7573044c73f |
|
VISUAL
aHash
|
feff9fc783fbdffb |
|
VISUAL
dHash
|
4c3222af1b423683 |
|
VISUAL
wHash
|
26df9bc18181c37b |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4c3222af1b423683 |
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 652 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 4 other scans for this domain