Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11AA30C306118EC3BA1EB94D5A2B6576F31E98346CA074658F6F493F45BDACACCD37088 |
|
CONTENT
ssdeep
|
1536:4GmsIxg5BsFIAzKesv926DcvS6HG75SJ1y7x:4GmCBsVF6268SEG75Si7x |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
993366cc993366cc |
|
VISUAL
aHash
|
0000001818000000 |
|
VISUAL
dHash
|
00000832b2080000 |
|
VISUAL
wHash
|
30303c3cfcfcf0f0 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
04582696960a4000,00000832b2080000 |
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 49 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.
Pages with identical visual appearance (based on perceptual hash)