Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T130A3A770D1510E7F94270BEDE3B8A33533DA9395E60F4744A27D12B677CAC66A8623C8 |
|
CONTENT
ssdeep
|
768:v4UYjaYjmYjQYj5uLjDLF3QxQiJDDfqyqVpAoZgEn7qpFG1fhdBpxSGO2U7pSoCX:NDF6E0QBpdQSJDm6klGi9E1xf3BR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
817c2dd5a534ad95 |
|
VISUAL
aHash
|
424000547e7e7e3f |
|
VISUAL
dHash
|
a690d4acd0ead4ca |
|
VISUAL
wHash
|
424044547e7e7e7e |
|
VISUAL
colorHash
|
38000030000 |
|
VISUAL
cropResistant
|
a690d4acd0ead4ca |
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 52 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.