Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DD522BB9B12431A59E0343DBBD2123BBE20791AEEE6216C9D755C218B3D5DFC8C31AC5 |
|
CONTENT
ssdeep
|
192:QohPoB6CJ54t9Qco1nV0wD27/piNrS3ku9cuGRmKbMpBXp7sfgg8gk:QGPoCRo1A/0o0smMpBZ7eg/B |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9e3a51e2d08ad5e3 |
|
VISUAL
aHash
|
bc859f9ff51f1ffe |
|
VISUAL
dHash
|
693d773505b43f8a |
|
VISUAL
wHash
|
bc818197851f07fe |
|
VISUAL
colorHash
|
07002000600 |
|
VISUAL
cropResistant
|
693d773505b43f8a |
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 485 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.