Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C6B3ED3460A37C5F696BD5D4F8656F04246BD736C2084FB9A37922A97BDA8F08833374 |
|
CONTENT
ssdeep
|
1536:TxhPnyP/dP73PXgk8wOKwwx7TQmxSyVnz0fFVhEFLuTHnTzhBeC30:TxcOKwwxQHq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b3cc66999933cc8c |
|
VISUAL
aHash
|
e7e7e7e7e7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d4d4d4d4d4d |
|
VISUAL
wHash
|
0707272707070707 |
|
VISUAL
colorHash
|
0ec00008000 |
|
VISUAL
cropResistant
|
0000000000000000,0000000000000000,8844389e860e3086,5145ec7878f02b01 |
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 919 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.