Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EDA43174E120314D5737C39F25B59B99C2B3F98CC733B65CAEA4A12F2A99C620F129D4 |
|
CONTENT
ssdeep
|
1536:43TcJXy1ZgHITfauzwwR6gFTxt7nGw7JbNibPTtu/ruCPwHoe8kqQl/6lDNX:WgJMpjj |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc7761158dd590c5 |
|
VISUAL
aHash
|
ba81c3bf9b83fffb |
|
VISUAL
dHash
|
422b2b23233f0426 |
|
VISUAL
wHash
|
2281839f9983ffa3 |
|
VISUAL
colorHash
|
07000180003 |
|
VISUAL
cropResistant
|
422b2b23233f0426 |
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 654 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.
Found 1 other scan for this domain