Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T133A355349443BD3F518386D5A2765769A2E68344CB138BC4BEF183FD5ECACA9DA33148 |
|
CONTENT
ssdeep
|
1536:0IsIxRRpkeELNxIHLphpyGAgQt0cCNHGxgjY3UDVPsOXZY7MxN:0ItTk4HLphpXaDCNmxf3UJfJY7yN |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
93476c98bf46ad44 |
|
VISUAL
aHash
|
8020307c3e0c0483 |
|
VISUAL
dHash
|
2048c8c8d8181803 |
|
VISUAL
wHash
|
806c7e7e7e1e0c83 |
|
VISUAL
colorHash
|
38006008040 |
|
VISUAL
cropResistant
|
2048c8c8d8181803 |
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 41 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.