Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BBB26370F1A15E7B80AB62D6B264D72BB0E1E788C9274B44B7FC53B67FCBC659840244 |
|
CONTENT
ssdeep
|
384:1I0kVb7hyw24z88LcqyRWCoVrp7oVl+/VlVWB0iC5lsTK0If/eV6Cn:1lkVHvXrPCQp7Al0jPyrIWV6Cn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ccf6717123ccc662 |
|
VISUAL
aHash
|
40803c3c00181800 |
|
VISUAL
dHash
|
841661612ab2330f |
|
VISUAL
wHash
|
e6d8fcbc3c1c1903 |
|
VISUAL
colorHash
|
38000038000 |
|
VISUAL
cropResistant
|
841661612ab2330f |
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 1002 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.