Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1BC32D960616C016B1573CCD2E9B4BF6AA2D7E31FC469946046FC465C8FCAEE0FB274A1 |
|
CONTENT
ssdeep
|
192:A3OXHmT3yF6+SL9gzMEHJMIxOZ8ZMoY5WPUTDF+yi/IjLZVUY95DDI8ErHxTa0:iApLEVLtpYrHxTa0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b2e86c966569926d |
|
VISUAL
aHash
|
c0c4c4e4660e0303 |
|
VISUAL
dHash
|
838c0ccccc2c070e |
|
VISUAL
wHash
|
e0eee4e6670f0703 |
|
VISUAL
colorHash
|
38e00010000 |
|
VISUAL
cropResistant
|
0008100c4c0c1008,838c0ccccc2c070e |
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 96 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.