Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13CB3C5F582A035FA421B7FD4DB316BAF355B747FEBA3868443B947A26687C98D804C10 |
|
CONTENT
ssdeep
|
1536:oXfbX0K2lQLfUUBUoDJElQLfUUQlQLfUUzJ4CFKckyFm+9ftidZ5j9b:U2IcIQIpFgT |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b807c73190c6fd39 |
|
VISUAL
aHash
|
3e009fbfcf83bfdf |
|
VISUAL
dHash
|
ec2b362c9c1660a2 |
|
VISUAL
wHash
|
24008fb7cf819bdb |
|
VISUAL
colorHash
|
07000408080 |
|
VISUAL
cropResistant
|
ec2b362c9c1660a2 |
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 1072 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 10 other scans for this domain