Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T15AB32CB03215747B25B387E330EA6612B27D961FC80F4C90B358E897639CCDAB457B99 |
|
CONTENT
ssdeep
|
1536:KFVMTVK5BWIqHxh8L6MmbXhjaPnQKR+9DMue9Nd8:TTjvmL6/btn9DM9Ne |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1314e46365e4e79 |
|
VISUAL
aHash
|
00cfcbcfcfffffff |
|
VISUAL
dHash
|
941b9b9a9a98d2d2 |
|
VISUAL
wHash
|
004a484ac9cffcfc |
|
VISUAL
colorHash
|
06e00000200 |
|
VISUAL
cropResistant
|
9c9b9b9a9ae0d2d2,091496949c969409,8b95999195959585 |
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 31 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