Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BE7309D04BA076B6E042D3E6CB76B179F787A4EABB048155C3E09A0BD1C5C7C8D61D8B |
|
CONTENT
ssdeep
|
1536:ybVNVHKTx+T+38EgBYVvnPOxXFFPi0WXdk1SIrB9C2u/z8k4FumB1F2eC/P7Gkf8:yp3qTxoXFGIrIz8UmBcP7Rsd |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92d16a743f2d4c0f |
|
VISUAL
aHash
|
6cff7fcf06040400 |
|
VISUAL
dHash
|
8988d81a6cb59d09 |
|
VISUAL
wHash
|
6cff7fef06140401 |
|
VISUAL
colorHash
|
1bc00000000 |
|
VISUAL
cropResistant
|
fd6deddddddffe7f,8d08c022c080a082,5550a9b9f9e9e968,8988d81a6cb59d09 |
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 5 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.