Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T100143BB02206B62B357342D1A092E71EB2B9971AF807C904E3BDD4D623CDCC9D567BE4 |
|
CONTENT
ssdeep
|
1536:ZU7qmev8UYjiBj1xKjBQIr/SNlaEocGZzfPuXPvbpWpFo2h20VTgHd8tVPTMnEXL:ZejGXspMug98nKd0+w1 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bf48b46a599f49a0 |
|
VISUAL
aHash
|
80008c8c88848f8f |
|
VISUAL
dHash
|
5ba4585859286c0c |
|
VISUAL
wHash
|
89c09f8c8c8f8f8f |
|
VISUAL
colorHash
|
39000018400 |
|
VISUAL
cropResistant
|
5ba4585859286c0c |
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 58 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.