Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1F423D0347043381BA537D4D8F46D6F147843D73AC2481F5993BA26AA6FDACE0AE23365 |
|
CONTENT
ssdeep
|
768:1UbO+i6yZzEa3rToCj/PKkQzmUszmUwMmxd2B056LhFPRJ0YgZz05+x6Jl93ekjC:1aO+i6yZzEa3rTztQzmUszmUKE05A50Z |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9a64718f986de638 |
|
VISUAL
aHash
|
000000183c3c3c3c |
|
VISUAL
dHash
|
31a870f0696971f0 |
|
VISUAL
wHash
|
9800183c7c7e7e7e |
|
VISUAL
colorHash
|
3804e000000 |
|
VISUAL
cropResistant
|
c8d9072e56161636,eb8b502ed87c4e5e,31a870f0696971f0,6c373372563686e6,7358797372694d4c |
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 160 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.