Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FE4350616440983B41DB86D9A235631961F9A349CA230689FAF8E7F847EFCBCFD37150 |
|
CONTENT
ssdeep
|
384:hl6y+FWy0a5+Wy0a0FWy0axDE0dWDE0WCrEQDE0jqcDE0N8E3mrpoMfj421d7sDI:XIHWqbVoMbp1d7ZO8sDMs2R/jOaUf78 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
c7c53f01e8b47f01 |
|
VISUAL
aHash
|
7b30f0f060600391 |
|
VISUAL
dHash
|
e2eac080c0c4e623 |
|
VISUAL
wHash
|
7f78f8f870600393 |
|
VISUAL
colorHash
|
300000001c0 |
|
VISUAL
cropResistant
|
e2eac080c0c4e623 |
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 63 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.