Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T114F186306225193F65570EF5B271BB6FB0EBD34DCA2B555882FC83A25BC6C54CC922A4 |
|
CONTENT
ssdeep
|
96:mxtT8tPtzVga8xrfp6/YzDREy3XrLZYJ/SjJJ5mQJPZAFJ5Dol2raTMAGpENT+7V:EtKl4F5zDREKdjtm82JDojMZp7V |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f3172dec92b086e2 |
|
VISUAL
aHash
|
80808ccccce7c3c1 |
|
VISUAL
dHash
|
3a624918190f1313 |
|
VISUAL
wHash
|
8280acccecffc3c3 |
|
VISUAL
colorHash
|
00000007000 |
|
VISUAL
cropResistant
|
0a0e000000000004,b215b3bbab8e8e8e,9f9dedf9343573f3,3a624918190f1313 |
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 1202 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.