Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DBD32CB43694F4A20AB787D3406F0002B3391D3B141D6C6063A5EDEA766999EB0F7F97 |
|
CONTENT
ssdeep
|
1536:ZTtvrPaf/vPKYD6Sj3eZGhoTthYan6rGi35gwyOfDvpgrpH3BJt:PTPo/mSj3xQtMSO1gRBr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b13146ce4e39393b |
|
VISUAL
aHash
|
00ff0f0fffffffff |
|
VISUAL
dHash
|
9ce21a9a6418100c |
|
VISUAL
wHash
|
007e000f0f9f1f07 |
|
VISUAL
colorHash
|
06000038000 |
|
VISUAL
cropResistant
|
9ce21a9a6418100c,515113eeec115151,33330c4569686968 |
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 152 techniques to evade detection by security scanners and make reverse engineering more difficult.
Drainer supports multiple blockchain networks and checks for high-value tokens on each chain before executing drain operations.