Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10D2251B7D101683F531749F9A456BB3CA0D6428FCF1E4CD2A2AE02DB4EF6DA1A827055 |
|
CONTENT
ssdeep
|
192:mIA4cAINhbRpMFr9HxPdPSFtmlNBN40XxEzjl4R1oV+1:mpbbM5HxFKFtmrBvXxEz540V+1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93926c6cf293cd34 |
|
VISUAL
aHash
|
80343c3c0c180018 |
|
VISUAL
dHash
|
236d68e9d9726870 |
|
VISUAL
wHash
|
fb3c3e7c3c1800bc |
|
VISUAL
colorHash
|
30002000080 |
|
VISUAL
cropResistant
|
5440d1f1cc8a2e4d,236d68e9d9726870 |
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 458 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.