Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T18CA1C73214801A3F5627C66CB6E0F203669FC21DC9A7D966E3FE41BE37DAD50C623564 |
|
CONTENT
ssdeep
|
96:Tle46YATqrkPNQV83SQT839Nks93EcYbvCqi7:xz8q9NJBZYbvLg |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ddde277689d88822 |
|
VISUAL
aHash
|
8080181818180103 |
|
VISUAL
dHash
|
200c32b2b2b34f33 |
|
VISUAL
wHash
|
f0f0f8f8fc190307 |
|
VISUAL
colorHash
|
380020001c0 |
|
VISUAL
cropResistant
|
332bc278c051558c,200c32b2b2b34f33 |
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 18 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.