Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C023A73613582E3E651B87A8F764F778421DD199E23BD278E5BC22311687C84F9339D8 |
|
CONTENT
ssdeep
|
768:lPbPDuQfZYQYVBOuYVYYTY87YfEYG3Y9KYjUQUQUQUQUuUQUQUQUQU7UQUQUQUQk:5boBU9999j9999Y9999Q1mkgc0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c9c3335647d83d9 |
|
VISUAL
aHash
|
023c3c181026187c |
|
VISUAL
dHash
|
96717132b0cc32d1 |
|
VISUAL
wHash
|
463c3c3800ff1c7f |
|
VISUAL
colorHash
|
38010000e00 |
|
VISUAL
cropResistant
|
96717132b0cc32d1 |
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 26 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.