Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T159D132B16544146E01B3C5F1EA967F3962D6F327CA1EA4087AFD51E84FD2DB0B847230 |
|
CONTENT
ssdeep
|
96:6r8lfODx1udRiuxh3OY/PUhmhChshh85zp8TP86A8bU8+N+zs5fkNC0Qx:6m88RWz2zs5d |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e666646633999933 |
|
VISUAL
aHash
|
e3e3e7e7e7ffe7c7 |
|
VISUAL
dHash
|
a585aecc4db2dcdc |
|
VISUAL
wHash
|
e363c3c3435b43c3 |
|
VISUAL
colorHash
|
07000400030 |
|
VISUAL
cropResistant
|
a585aecc4db2dcdc |
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 17 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.