Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10E03D8B2AE5632370037C2E6719753BEF2F65119E646011082ED83A412EEC55FD3F9EA |
|
CONTENT
ssdeep
|
768:dIIEOe+tK+RqHbNfPUp6H6HbNfPUp6HeNPNUnGP2rD9KN858SbekYsNfCOIknNFV:dIIEOe1kqHbNfPUp6H6HbNfPUp6H8NSB |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b298ce6b1933c3c6 |
|
VISUAL
aHash
|
f997fe8ede60263e |
|
VISUAL
dHash
|
2b34641830cd4ce4 |
|
VISUAL
wHash
|
f917fe8ed420203e |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
2b34641830cd4ce4 |
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 2 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.