Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1480373736545243B0323A7C9B426B75EE193830ECF8748A8B3EDC7970BD3DD5992582A |
|
CONTENT
ssdeep
|
384:ALge9vCePr8UCfSMtoK0PSHPSHvNbEZ0y7hScf3sgEnab/8+1ar8IW:Kvv1Cx0K6U0y7IInEnaz8+1G8IW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ad56a93b5e23a152 |
|
VISUAL
aHash
|
007072101003031b |
|
VISUAL
dHash
|
06e6c4e6b49707b3 |
|
VISUAL
wHash
|
837a76761673031b |
|
VISUAL
colorHash
|
38000006000 |
|
VISUAL
cropResistant
|
804b726971710c14,06e6c4e6b49707b3,016928174d30b10d |
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 821 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.