Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A482D8325210293D662787D8F2E5B3694199D388D33E5859F7EC027226D3DD9EC3B1D8 |
|
CONTENT
ssdeep
|
384:tAR6ptImUHnSJWOAbldWOAjEfQ9RZ1dbMijxZ:tAITXUHVOAZ4OAofQ9RZTbMijxZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
968d6c72d1bc8959 |
|
VISUAL
aHash
|
1f3f3f1f0f070700 |
|
VISUAL
dHash
|
fae7f6fcfcfd3c96 |
|
VISUAL
wHash
|
1f3f3f1f0f070700 |
|
VISUAL
colorHash
|
1a007000000 |
|
VISUAL
cropResistant
|
fae7f6fcfcfd3c96 |
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 1086 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.