Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1AC423ED1937412E8954283C49D67B557723BE0EDD78948A4D2982BE872C9FF8AC720E8 |
|
CONTENT
ssdeep
|
192:nOXOWOZVQm4+56HFtaycUvtG3nDk680NTR+dFy5PzKxHzOgw95:OXOWOZVb5WVvenw85GxH8L |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e4b5694a5a494f96 |
|
VISUAL
aHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
dHash
|
a5262624252426a5 |
|
VISUAL
wHash
|
f0f0f0f0f0f0f0f0 |
|
VISUAL
colorHash
|
06000000180 |
|
VISUAL
cropResistant
|
d00018180e1c0040,f09c9cc4cdcf4323,d098c0c0e070381c,f3e9f86ce4c6cec7,43bcb49263339845 |
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 402 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.
Pages with identical visual appearance (based on perceptual hash)