Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13F531AB1F220609D5633C7CAB9E3DF9DE263B48CDF62D2A4D9A5912E26D1DF24C11C81 |
|
CONTENT
ssdeep
|
768:yncQ3cf7I99EyGzNRUFKUYbp19ngEwAmBBoH6vJLGzHUh9LAWhfqD10XQIzIhNtA:yL3cfcU1ZgByTg95QltAH6PhWvtX5VIQ |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bcd6c73130c6c731 |
|
VISUAL
aHash
|
feff9bc383fbfbfb |
|
VISUAL
dHash
|
4c33232f3b122293 |
|
VISUAL
wHash
|
26df99c181e383e9 |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4c33232f3b122293 |
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 617 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 2 other scans for this domain