Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAC209AC1940AC36410342FF6374F679C06330EADFB9446676FB129A79B35599E120BF |
|
CONTENT
ssdeep
|
768:RijTIPaQIjqqoVo3hBjjpPrl7b+F9LWVpMgrBtYq2ZnHaXwS9CL8RtIPaQIjqqos:RijTNj3Xntj3X1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a6764997b429c8d |
|
VISUAL
aHash
|
00101e3c1e1c1c10 |
|
VISUAL
dHash
|
296af4e9f8f87064 |
|
VISUAL
wHash
|
143e3e3c3e3e3c14 |
|
VISUAL
colorHash
|
30000e00000 |
|
VISUAL
cropResistant
|
4b5cdcccc9e9e9c8,296af4e9f8f87064 |
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 1050 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.