Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1ED5320315804ED3702EB99C5A676575AA3E28309CA230789FAF4C3ED5FDBD59CE23214 |
|
CONTENT
ssdeep
|
1536:LR9VBXXOUBkf/Oan7p7J/y78/8sIxN79y8w:tEUBkf5V7Jq78/857cv |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c6b1b8af822ec23d |
|
VISUAL
aHash
|
fffe0000000000ff |
|
VISUAL
dHash
|
009084e4466063e0 |
|
VISUAL
wHash
|
ffff607c002000ff |
|
VISUAL
colorHash
|
1ec01010000 |
|
VISUAL
cropResistant
|
00889c0008000090,6300008002c0c0a3,9084c4e046486363 |
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 65 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.