Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10943553123551E3DD46B89D5F2B4333E61EA9249D61B981DE2BC03E257CBC889C772E8 |
|
CONTENT
ssdeep
|
384:jEjfJiTC4O+sTmrK0uWkIWS3fRAhNdhInCxB7AtkNB9TUnDKYWsq:jEjfJiTCo4WjWauxBxNB9TSDKTsq |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8edda8d5a074a0d7 |
|
VISUAL
aHash
|
db3c18103c3c3039 |
|
VISUAL
dHash
|
b27171b669616861 |
|
VISUAL
wHash
|
ff3c18103c3c3c3d |
|
VISUAL
colorHash
|
31000030000 |
|
VISUAL
cropResistant
|
b27171b669616861 |
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 12 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.