Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CC82B73612D42A3F711386F9F691F36660E9870ED2A3C659F3BC12B11785DD1E9332A8 |
|
CONTENT
ssdeep
|
384:RfwG4jgtav6gI6wpkBZHyk2o8V9Oy6po2:5wdj9v6gI6wpkBZHyk2o8V9Oy6po2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c0cf3d90ce6f319 |
|
VISUAL
aHash
|
0000000018ffffff |
|
VISUAL
dHash
|
f3f3f7efb35a0c4d |
|
VISUAL
wHash
|
101000011fffffff |
|
VISUAL
colorHash
|
030000001c0 |
|
VISUAL
cropResistant
|
efb3b3084c084d4d,f3f7b3f3f7edb3b3 |
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 22 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.