Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T10604B730B110510A5733AF46BAD2DF9CEA93F74DC912E1B8E9A2A17F56E0DE54C20C76 |
|
CONTENT
ssdeep
|
1536:OhL3csoMK7aRC99qw48a1ZgmGTf92GeIzjf+gKPw1PeUF5ZBsWBvaIgl2+Zhu8sU:8fKh9qR8xrI |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f4711951e51dc38e |
|
VISUAL
aHash
|
62c337c6e7ec1bff |
|
VISUAL
dHash
|
8a1f66ae059826d5 |
|
VISUAL
wHash
|
2ac133c4e7e818fb |
|
VISUAL
colorHash
|
07201000002 |
|
VISUAL
cropResistant
|
8a1f66ae059826d5 |
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 122 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.