Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18623203151406737014381D8F2B2AB9E2256974ACE530B8BE3F5439B8FBBCD9AD7D189 |
|
CONTENT
ssdeep
|
384:nfI6OGUnivfVTIMeav5gOZHSQJOIWcN1P5YO+0sFHteT9e:w6OGUnivfhJ/9PNB57+/Nme |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6a70d487c764315 |
|
VISUAL
aHash
|
00e7ffffffff0000 |
|
VISUAL
dHash
|
232be82da9ab2524 |
|
VISUAL
wHash
|
0085fff7dff70000 |
|
VISUAL
colorHash
|
0e007040000 |
|
VISUAL
cropResistant
|
9191d9694d4c6c68,6ccc8ddacb8bcbc1,232be82da9ab2524 |
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 1341 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.