Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A88225319554A92B0187C2E1B3756F0E72CAE344CB5315EAB3F4434D9FCAC98CEA43A6 |
|
CONTENT
ssdeep
|
96:lq24NIBHRglQ9P1p5dTWvmqI/dM7D/UYx95MfF/ptINPp3pplqNtlSo/jwSqLB/n:l4NIT39tzdl8DomHqNta2WibcV41hXVI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
95b44a6a923dd476 |
|
VISUAL
aHash
|
066726072600007e |
|
VISUAL
dHash
|
9cccce4ecc50b2d4 |
|
VISUAL
wHash
|
076f7f2f2710007e |
|
VISUAL
colorHash
|
390012400c0 |
|
VISUAL
cropResistant
|
cd64c3ecf8f0f038,9cccce4ecc50b2d4 |
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 1813 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.
Found 1 other scan for this domain