Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EE92A87A811C112687939FA6F420679EF6BBE26ECF3704846FFC57945BD8EE98C84500 |
|
CONTENT
ssdeep
|
384:pvtInTq4s5GJK3BkP6jyroUa87efJM9cU:pvenToBkMUf7efJM9cU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d2f2ad0d2d549a53 |
|
VISUAL
aHash
|
00e4ecc40018787f |
|
VISUAL
dHash
|
328d8d8d9231d0d7 |
|
VISUAL
wHash
|
00f4fce418187e7f |
|
VISUAL
colorHash
|
38006000080 |
|
VISUAL
cropResistant
|
328d8d8d9231d0d7 |
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 143 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.