Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T168D2F5A463185B3AE50657E9BB66B039027F75D9C39B8A94E3DC0B0EB4C5C9DCC352C2 |
|
CONTENT
ssdeep
|
384:akorPu3LjbWASMVatISMfzNtX1VTD6AF+6yeVatISMPzNtX1G:akorPu3LjbWFMg8NNHg+G |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
999d27278b9b9924 |
|
VISUAL
aHash
|
83003c3c18180000 |
|
VISUAL
dHash
|
0b16707872310c22 |
|
VISUAL
wHash
|
8302bcfd3f9d8158 |
|
VISUAL
colorHash
|
380001c0000 |
|
VISUAL
cropResistant
|
2c40db9bd1d1cd2d,0b16707872310c22 |
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 484352 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer checks balances of popular ERC-20 tokens (USDT, USDC, DAI, etc.) and only proceeds if total value exceeds minimum threshold.