Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EF14E711D14116782BAB85F8F092EA5EB3549C0BB70038B5FA9D73F2944BB64C7BF924 |
|
CONTENT
ssdeep
|
6144:L65q6kfNjisprn3UE+ni1ji26wZ/XTiLMoWLZMVGSSTlz60jL22c1Pu8uD70JjbE:dr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c23639c3663c8e7 |
|
VISUAL
aHash
|
00181c1c1c1c1800 |
|
VISUAL
dHash
|
cc3232323232b24c |
|
VISUAL
wHash
|
083c3c1c1c1c3ce0 |
|
VISUAL
colorHash
|
07600000001 |
|
VISUAL
cropResistant
|
ce8f3edaeab2b28e,cc3232323232b24c |
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 574 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.