Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T156D23E30A404AC3B22A3D2E6A6351B0FA2859600DFD35BA6D7F5836D1FE5D41EF27B14 |
|
CONTENT
ssdeep
|
768:Wqk3ir83vglk3RvnsUg4gR5c2kxslEOGEiB3usUg4gR5c2kxslEOGEiBL4t4GmFJ:Bk3ir83vglk3RvnsUg4gR5c2kxslEOGS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
de617692647089de |
|
VISUAL
aHash
|
803c3c183c3c3c18 |
|
VISUAL
dHash
|
0669713271717131 |
|
VISUAL
wHash
|
f0fc3c383c3c3c98 |
|
VISUAL
colorHash
|
30006400000 |
|
VISUAL
cropResistant
|
0669713271717131 |
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 1217 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.