Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1A1A3D8F582A075F9421BAFD4DB32BEAE755B34BFEFA28784437847A16683D94D448C00 |
|
CONTENT
ssdeep
|
1536:GXfbX0K2lQLfUUBRSlQLfUUQlQLfUUzJ4CFKckyFm+9ftidZ5jmb:G2IWIQIpFgA |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
9c175355d1d4d1d4 |
|
VISUAL
aHash
|
0400bf9f9f9f9fff |
|
VISUAL
dHash
|
ec6126242424246c |
|
VISUAL
wHash
|
2400939b1b1b93ff |
|
VISUAL
colorHash
|
07000600048 |
|
VISUAL
cropResistant
|
ec6126242424246c |
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 1000 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 9 other scans for this domain