Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EC33C02C710636567837D5C0F4A91F04B06B973AC204491BE3EE27996FCBEE1AE31765 |
|
CONTENT
ssdeep
|
1536:M1PNHit5MWgc7JLADfDv9K38oW5F00kI09HAkgvXWMFZ5LfxNLfMYLfcCLfKWLfI:Fn |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f5b26a6b95866a0a |
|
VISUAL
aHash
|
8080fcffdf000000 |
|
VISUAL
dHash
|
0112ecdc1a250000 |
|
VISUAL
wHash
|
80fffeffff000000 |
|
VISUAL
colorHash
|
390000001c0 |
|
VISUAL
cropResistant
|
0112ecdc1a250000 |
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 35 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.