Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10473863053142A3EA51747A4F6A1B77C61AE8385C71F952CF2BC02B22BC7C98DD6B6D4 |
|
CONTENT
ssdeep
|
768:4QWo5a0weH8en9wsh+YgpGPZWgs7ezCIsdCMutiHRm47kaINsvn36xAf8qvWa:sEzUWO |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
895e76334e26d98c |
|
VISUAL
aHash
|
00001c1818180000 |
|
VISUAL
dHash
|
0ff2b2b3b3b2f247 |
|
VISUAL
wHash
|
00193f3c191f13ff |
|
VISUAL
colorHash
|
0a007000000 |
|
VISUAL
cropResistant
|
8e8c9696b2a25a5a,0ff2b2b3b3b2f247 |
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 8 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.