Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143C3D7F582A035F94217AFD4DB32ABAB755B71BFEFA38784437847A16687C94D848C00 |
|
CONTENT
ssdeep
|
1536:kXfbX0K2lQLfUUBCXEGoDJ52lQLfUUQlQLfUUzJ4CFf5l1ckyFm+9ftidZ5m9b:A2IcUN2IQIpF310 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c6117d74758d1d4 |
|
VISUAL
aHash
|
3e00cf81df9f9f9f |
|
VISUAL
dHash
|
ec4b333b28303120 |
|
VISUAL
wHash
|
3c0081818fdf9f9f |
|
VISUAL
colorHash
|
07000408080 |
|
VISUAL
cropResistant
|
ec4b333b28303120 |
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