Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1E533CC30A886AC375093D1C49F7A8B1BB6E0F345D6834701D7F9C3AC6ADED5AEC16648 |
|
CONTENT
ssdeep
|
1536:6bYy+EECQLgS2JtUz4uERpd0wdIvnqCZfl/laObY9XhdH:Ly+EtddR |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b333999999616566 |
|
VISUAL
aHash
|
cfe7c3e3ffffefe7 |
|
VISUAL
dHash
|
104d4e0e10180c0c |
|
VISUAL
wHash
|
c3c3c3c3c3c3c3c3 |
|
VISUAL
colorHash
|
07000030040 |
|
VISUAL
cropResistant
|
104d4e0e10180c0c,baec489a9b8ca4a1 |
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 13898 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.