Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13B822DB9A11013A94F0347C6B91613BFA21790ADF61355E8FBA5C22C72A9DBC8931EC5 |
|
CONTENT
ssdeep
|
384:QaogxfEgzR7EdlZuCiZoUn9k5WeHEZz9NsmMpBZ7eg/B:xoGa3iJ9FeHFm4/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcaac52bd42897e8 |
|
VISUAL
aHash
|
ffdf8f9f8f8f81fe |
|
VISUAL
dHash
|
c8343c383c1813ce |
|
VISUAL
wHash
|
7f878f8f0f0f0184 |
|
VISUAL
colorHash
|
07019008040 |
|
VISUAL
cropResistant
|
c8343c383c1813ce |
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 490 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.