Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T136927E356A0015AB13BB95C0F6607E1FA2D6F30FC40AC555A7BDA58A2FC3CB2B761472 |
|
CONTENT
ssdeep
|
384:D3awrD89DF0FtFPFUFuF5FRF6FFmtMvO1c:DTq839cKbjuF8MD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9999998e66c66666 |
|
VISUAL
aHash
|
3c18181810181800 |
|
VISUAL
dHash
|
3232323020323230 |
|
VISUAL
wHash
|
3c1c3c183c3c3c3c |
|
VISUAL
colorHash
|
07400008000 |
|
VISUAL
cropResistant
|
3232323020323230 |
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 23 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.