Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T181F2DA22A0011EB75A73D3D8D4107E6F31B7FB4FC5A882B87E5886291ED3DF638065A5 |
|
CONTENT
ssdeep
|
384:WI590DGhKrkPnFxFVFOdcOB4RO04vh9FO74NOm4LOt4U:W6lKrkdDvnOB4RO04vtO74NOm4LOt4U |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e366cccc98ccce64 |
|
VISUAL
aHash
|
e7c3e3e7e7e7e7e7 |
|
VISUAL
dHash
|
140c0c1c1404140c |
|
VISUAL
wHash
|
c3c3c3e7c4c4c4c0 |
|
VISUAL
colorHash
|
07008048001 |
|
VISUAL
cropResistant
|
140c0c1c1404140c |
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 22 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.