Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1C4B287312355287EA6978BE4F7523738A1AED2C8C60B446CF27C81F16BC2D68D99F354 |
|
CONTENT
ssdeep
|
384:5skbCotcyCIpC/XoEyK2n96yNkGuEUeGrsrCrxrjrArgorysrQrYrI:5zcG8+Kmcy7gceZ3QZycAII |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b120cccbdbcec871 |
|
VISUAL
aHash
|
fdc3c3efc7ff81c3 |
|
VISUAL
dHash
|
6b8696cc5c0a2b2b |
|
VISUAL
wHash
|
b90343c3c7ffc181 |
|
VISUAL
colorHash
|
070000001c0 |
|
VISUAL
cropResistant
|
6b8696cc5c0a2b2b |
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 66 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.