Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T16D2237A0794861232873CDCAED802D9A59A3F72B8399DC8116DB717A0DCBEF57412D37 |
|
CONTENT
ssdeep
|
192:USgwo8zp4yQ7F0hgLsorHkgPZXuz2k9qtuz0BmzUlXFWC1JVOJI:USgwTzp4yQ7F0hgLdrkgPhuz2k9qtuza |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e56569899999cd64 |
|
VISUAL
aHash
|
fbc3e3ffe7ffc3ff |
|
VISUAL
dHash
|
828e0e0c06068e11 |
|
VISUAL
wHash
|
f3c3c3c3c3db00c5 |
|
VISUAL
colorHash
|
07618000000 |
|
VISUAL
cropResistant
|
828e0e0c06068e11,73663d7b68747647 |
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 5 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.