Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T143837472A74A68BBD0035BCBDE526B1530F236FEDE366C4997F82AD983F1C04C825459 |
|
CONTENT
ssdeep
|
1536:s1WqGHFwB+ptqULeq0lS9swlYeI5evdZq3dbgl2:wUPsHhevdc3dbz |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f6add221528fd223 |
|
VISUAL
aHash
|
e7c3ffffc3c3ffe4 |
|
VISUAL
dHash
|
96272d230e0e4f4c |
|
VISUAL
wHash
|
678395b181c3e7e4 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
96272d230e0e4f4c |
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 82 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.