Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T155929370C1659C23D063D0CAB0A29B6F30D0C249DB470B0497FB67BA5AC7DF6EE16589 |
|
CONTENT
ssdeep
|
384:zFe3oyZR/MfpZXDFEy2GA+DVV0aLA0OqlWETuji8:R0dZaAsVV0km |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c9c6362d8d96636 |
|
VISUAL
aHash
|
1c1e1e1e1c000000 |
|
VISUAL
dHash
|
707070b0308c0000 |
|
VISUAL
wHash
|
3e3f3f3f1ee48000 |
|
VISUAL
colorHash
|
30000000038 |
|
VISUAL
cropResistant
|
707070b0308c0000 |
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 21 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.