Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D57394F223154AAE84CBC2F5F719776EA195938BD6738C0AF3ED42569F83C14EC16260 |
|
CONTENT
ssdeep
|
768:sJs0Rbv4GIJpjzH9rrSZSiEL4LN/FNQAoP/beMurjmXJDGxNrzGNt9Zs+GPTnZwz:temvr/D |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a31c7ac0efc13cd1 |
|
VISUAL
aHash
|
4000037767076381 |
|
VISUAL
dHash
|
942c16c7ced7d77b |
|
VISUAL
wHash
|
e604037f67077783 |
|
VISUAL
colorHash
|
30e00008000 |
|
VISUAL
cropResistant
|
09e44b4bad120000,942c16c7ced7d77b |
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 104 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.