Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EBE3FE704045A53F45C2C3C37AEF76CA62D0A2D6C916324533EBD36E9ABAD61FF62190 |
|
CONTENT
ssdeep
|
1536:KDy9BOh89ko8EuHNSwPqbEUMUaEsX6D7sQD8pp0+OpubcWWsEBppTNygIVVXnfC6:Iy9mys6y9ejsR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a5a5ca4a5a7aa5c5 |
|
VISUAL
aHash
|
7f7f770200000000 |
|
VISUAL
dHash
|
dee6c6d6c9e62cda |
|
VISUAL
wHash
|
7f7f7f3f00001710 |
|
VISUAL
colorHash
|
31006000000 |
|
VISUAL
cropResistant
|
8c7233b7c69c9825,dee6c6d6c9e62cda |
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 4351 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.
| ID | Portuguese | English | Trigger |
|---|---|---|---|