Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D0A29532930C253FA1178BD8EA76737931E79189DA090018AAFD03A4C7D6E85FC379D9 |
|
CONTENT
ssdeep
|
384:CnFTRvT3GkBXBnt5eyUQS0Q7lLAJd8dfAHQXoc0yI:6FVFBXBt5ey1FQ7lLWWCwXju |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0e31f3c3a2fe0e0 |
|
VISUAL
aHash
|
8100f660e4c402e0 |
|
VISUAL
dHash
|
3bcccccd8cbc4e42 |
|
VISUAL
wHash
|
8904f6e0e6ce02ff |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
3bcccccd8cbc4e42 |
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 12 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.