Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T198F20F66C1629EBB0523D1C1EEA0AF2BF3810189CA670E4573F99B2B9B9FD40DC41757 |
|
CONTENT
ssdeep
|
768:dzY6uP2xm4oQURPbRMTUjjo7e+FB+9k9YrCVsfmJZ2DwN63kxOOSQ8x:dzY6uP2sZQURPbyTUjk7e+FB+9k9YrCS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e19649cb9686e1e9 |
|
VISUAL
aHash
|
76c1c3f7ebc3c3c3 |
|
VISUAL
dHash
|
c496962d96969696 |
|
VISUAL
wHash
|
30c1c3f7c3c3c3c3 |
|
VISUAL
colorHash
|
01000000e00 |
|
VISUAL
cropResistant
|
c496962d96969696 |
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 40 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 1 other scan for this domain