Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1B9C3FAE483A035BD4217AFD8DB21BAAF755B34BFFFA38A84437847916687C95E404C44 |
|
CONTENT
ssdeep
|
1536:SXfbX0KVlQLfUU982lQLfUUNlQLfUUzR4CFf5lKIE7RO1+9fTirPOx:CVIG2INIBF3C |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
d7a9552754dc8654 |
|
VISUAL
aHash
|
eeefffffe7e7fcfc |
|
VISUAL
dHash
|
d85900104c4d3004 |
|
VISUAL
wHash
|
7eeee4e0e0e0f0e0 |
|
VISUAL
colorHash
|
07000400180 |
|
VISUAL
cropResistant
|
d85900104c4d3004 |
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 1968 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 10 other scans for this domain