Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19D4322309405E93702EB86D5A176172A61E68348C6234AC9FBFCC3FD5BEEC18EE27515 |
|
CONTENT
ssdeep
|
768:X7JOsIx/j7Su36cPnAj9hRIgIUf77d406mD:dOsIxfvPnApr37CKD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d9d2233cfbe0825c |
|
VISUAL
aHash
|
802078fcde1f0009 |
|
VISUAL
dHash
|
58d2c09030f2545b |
|
VISUAL
wHash
|
8030fcfefe3f0809 |
|
VISUAL
colorHash
|
38001200088 |
|
VISUAL
cropResistant
|
58d2c09030f2545b |
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 42 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.