Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19143F13871063857607786D0F094AF4C72D2DB3EC3858A69E3B922667FCBDF46865368 |
|
CONTENT
ssdeep
|
1536:LYsMg6Tg3TwuGzu1jepPTD060I3OX91TiwwK1WH57a6MWswSyBETzhBeC3ImP+W:yYGztZW |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f723668c88dd8876 |
|
VISUAL
aHash
|
e7e7e7ffe7e7e7e7 |
|
VISUAL
dHash
|
4d4d4d0c0c0c4c4d |
|
VISUAL
wHash
|
2727272727270607 |
|
VISUAL
colorHash
|
070000401c0 |
|
VISUAL
cropResistant
|
4d4d4d0c0c0c4c4d,e9e10200402aaaf4,642464a46498a8aa |
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 507 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.