Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T199532AB4F110609D5233D7CAB9E3DF9DE2A3B58CDB22D2A4D9B5916E26D0DF20C21C91 |
|
CONTENT
ssdeep
|
768:1LQ3T34bPuHCk9GzNRUFKUYbp19ngEUAmBBoH6vJLUzH7h9LAtuhfoD10XQIzIha:m3T34bPak1ZgbITfRHQlTAH6PhWvtX5b |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
bc16c7573044c737 |
|
VISUAL
aHash
|
feff9fc383fbdffb |
|
VISUAL
dHash
|
4c3222af1b423682 |
|
VISUAL
wHash
|
26df9bc18181c37b |
|
VISUAL
colorHash
|
07000000007 |
|
VISUAL
cropResistant
|
4c3222af1b423682 |
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 628 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.
Pages with identical visual appearance (based on perceptual hash)
Found 5 other scans for this domain