Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E2313110D520651E12B38B91FDA0792E729BD31F973A0C646BDD02590BDDEF4AA354A2 |
|
CONTENT
ssdeep
|
24:hDC1kO8BncicCpJnO+rWMOc4FsV/dAz9i/m3waeybmxb1VHrzZia:WqOhCrnnrWZc4FsV/d+i/m3wtxDZ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
91796ec69939c4c6 |
|
VISUAL
aHash
|
000000187e7e0000 |
|
VISUAL
dHash
|
0000d010d4cc00c8 |
|
VISUAL
wHash
|
00001818fefe0000 |
|
VISUAL
colorHash
|
3800000e000 |
|
VISUAL
cropResistant
|
0008104c4c0c1008,0000d010d4cc00c8 |
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 1030 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)