Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DAB31F187504853B663386D1F8A2BF8AB5D3F30EC96AD251E9FF42980FC7DB2B954421 |
|
CONTENT
ssdeep
|
1536:aQpXhgkjXJUnv+5zr+7g+P2WP8OhfeCpaaaIUlDhbxLkq4Ehu9A9f2/LDu4tyV7L:aQJhPV |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b1b0b1797a86864f |
|
VISUAL
aHash
|
efcfff0600002000 |
|
VISUAL
dHash
|
9a9aac8c12875555 |
|
VISUAL
wHash
|
ffffff7780002000 |
|
VISUAL
colorHash
|
02000000c00 |
|
VISUAL
cropResistant
|
f8d6b2696baaccf0,aaa22667172e92a2,7637696c8d893557,397b624742c5878d,9a9aac8c12875555 |
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 64 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.