Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T11FD2B6F5D2C154BDA107E7E4E53546A871BB30FEAF43DB28C3D05A90B9B186DCA8E481 |
|
CONTENT
ssdeep
|
768:qejgORlpLDR6nqaavaLZaYbxi6HdMSlRYw4RtadowLDxlJy28k1GTaENlBKCWt4C:qxz6upP8uoS |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
88aa2a89af27abab |
|
VISUAL
aHash
|
991818003c180000 |
|
VISUAL
dHash
|
33b13104b2323010 |
|
VISUAL
wHash
|
ff3d18303c3c3c18 |
|
VISUAL
colorHash
|
31000038000 |
|
VISUAL
cropResistant
|
0000044d4d0c1000,33b13104b2323010 |
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 118608 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.