Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159C3C63963882A3D641787D4FBE5B33C526AD398E627945DF3EC01B227C6C94D83B294 |
|
CONTENT
ssdeep
|
1536:qTgYwkIw9QelCeq4KmV9G8itUsBDBLB8BcBQBnr6JF5YgYwB6rGMMMMTMMMMmMMz:ELwkImMKlLwc3DLw0bX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
8ce667e9989b6464 |
|
VISUAL
aHash
|
4200003c18180000 |
|
VISUAL
dHash
|
864c96f0b0f04092 |
|
VISUAL
wHash
|
ff3c5a7e5a7e0000 |
|
VISUAL
colorHash
|
380000001c0 |
|
VISUAL
cropResistant
|
864c96f0b0f04092 |
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 6 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.