Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C2A11E6462054809736B6F50F5D2DFBE6A41E30EC14CCAB491F622F9C8CCEA089B4A5B |
|
CONTENT
ssdeep
|
48:TyH6qCubzkKyrEVjuGgnPnYPUe0kw/Sk3/SkmrUtznPnYQ:Ty3CSkHOj0PkUec/5/IQbPr |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
cc8c9b3333999993 |
|
VISUAL
aHash
|
1c38181800000000 |
|
VISUAL
dHash
|
3a32b2b00c200000 |
|
VISUAL
wHash
|
1818181800000000 |
|
VISUAL
colorHash
|
38007000000 |
|
VISUAL
cropResistant
|
3a32b2b00c200000 |
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 28 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.