Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1391132275011890B4B136EE47AD24589309BC30CCE871E1462FB569D2FF7D86DE2BE58 |
|
CONTENT
ssdeep
|
24:hRxoVnClgfsRE0wwgICHZRk2Nf0JDz8vja:TxoXDJIa82aOja |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a435a4dec35accd1 |
|
VISUAL
aHash
|
470302006e324677 |
|
VISUAL
dHash
|
8e26b689d8e68cd5 |
|
VISUAL
wHash
|
5f0302606e32ef77 |
|
VISUAL
colorHash
|
12400008000 |
|
VISUAL
cropResistant
|
040e2997b2c888f1,0080e0b87a9e9eb8,828231382cccfcf8,8e26b689d8e68cd5 |
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 30 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.