Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F3E295316354297EE6978BB9F221B37861E5D28CD917CA55F3FD02730BCBC94D922680 |
|
CONTENT
ssdeep
|
768:0yZwRmlMIrZiXL+ee4Fuq0LDCKBocBBEgS3kaNcFs:h83kgc6 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c16c3975e0f02677 |
|
VISUAL
aHash
|
5818307e7e7e7e7e |
|
VISUAL
dHash
|
9032a094d0c098da |
|
VISUAL
wHash
|
4018107c7c7e7e7e |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
9032a094d0c098da |
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 28 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.