Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B14E7B292A2362B210743C8F565D356318B919EDB4F45C493BCD3B0AFC7CC4999EAC6 |
|
CONTENT
ssdeep
|
3072:zWutl2jNg4M3zRE0vloXuufBpW0qPa88mQMkMYM0MyM+MGVLtZbWxlnHvVCb8vc3:za2gOE |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
df50b7709dd085d0 |
|
VISUAL
aHash
|
ff000000000000ff |
|
VISUAL
dHash
|
884d31313141016b |
|
VISUAL
wHash
|
ff0018181800ffff |
|
VISUAL
colorHash
|
31000e00000 |
|
VISUAL
cropResistant
|
884d31313141016b,100c32b232320c30 |
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 289876 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.