Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1687234F09099EF33435741C6B5A7A75E30D4C246DACE264066F983F90BE7CA8D92E153 |
|
CONTENT
ssdeep
|
384:4HeOdkvf0Y+V8OmHSIAWVrZ8y2dkZlzV6l8G0qJ3TB:HvfUWnIl |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc3c6c6c6d2c3899 |
|
VISUAL
aHash
|
81c3cbffffffffff |
|
VISUAL
dHash
|
27333333b82a2c54 |
|
VISUAL
wHash
|
81818181db93b7ff |
|
VISUAL
colorHash
|
070012000c8 |
|
VISUAL
cropResistant
|
27333333b82a2c54,43cb43456159c901 |
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 4 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.