Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF23F9FAE6D061F49007E7F5E4756AB5756B30FFBB558E94C2F4068496C2DAC888CC80 |
|
CONTENT
ssdeep
|
768:ywKxdJskJHZm+pgn/f7RmHL4yDCwSrLSMLFjSxu/ern352T18SIupgn/f7RmHL4H:OzsyHZNSnn23MsxE17Snn23MsxE1l |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
dd9d72e799620988 |
|
VISUAL
aHash
|
fefefef8f8f0e0c0 |
|
VISUAL
dHash
|
0008541030048480 |
|
VISUAL
wHash
|
fefef8f8f8c04000 |
|
VISUAL
colorHash
|
30000000038 |
|
VISUAL
cropResistant
|
0008541030048480 |
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 1182 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.