Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D8244436E3640134C59F47CCC2E6AE5B206952CF215052887B291771FB96CFDA87F6B2 |
|
CONTENT
ssdeep
|
768:JBwoOS7hgh4xAztE/BAB0643xHq70GqUgJNj7heOO1FWKv8qzozOz:JBWfvBZGis+nWKUqzozQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b4b44f39b94b49e0 |
|
VISUAL
aHash
|
0006e6efc7060000 |
|
VISUAL
dHash
|
0ac4cc8cae8ca9a8 |
|
VISUAL
wHash
|
0206f6efe706147e |
|
VISUAL
colorHash
|
38400008080 |
|
VISUAL
cropResistant
|
f8e64eae0dba84e0,a0a2ca0e1ed080b0,0ac4cc8cae8ca9a8 |
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 52 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.