Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A0A2B6FA130494FEA607DEA9EA627F9C3536717FEE64C40087ED42C096D3EE5D806942 |
|
CONTENT
ssdeep
|
384:mvuaMNR9smNicSJCdhKhLvojQp8nwUjUO5PlXSu6QcnpwTBt5wlg136M2tNZ4YJq:ja4R9smEAdhK9mvFcnpwTBt5wlg136RU |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8c9a72d5a672d817 |
|
VISUAL
aHash
|
0418183f3f180000 |
|
VISUAL
dHash
|
d430b0f372b00130 |
|
VISUAL
wHash
|
463c3cffbff88000 |
|
VISUAL
colorHash
|
3000000008a |
|
VISUAL
cropResistant
|
d430b0f372b00130 |
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 146 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.