Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1EB31426184447DAFA23362EAF9A376FDE0D2300CD6B11D10A5FB51FE4BE8E94C8B5901 |
|
CONTENT
ssdeep
|
24:hR056tCPpXoGafDfyDfbScOpOI6m3xbY0LdYiPQ4c3jbtfta:T3EpX4mjScOpOIH3xU0aiPQ4c3tf0 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
85b5725adaa5354a |
|
VISUAL
aHash
|
07e7677f18002000 |
|
VISUAL
dHash
|
3c968ef2f1d44b49 |
|
VISUAL
wHash
|
cfe77fff3c002000 |
|
VISUAL
colorHash
|
30201008040 |
|
VISUAL
cropResistant
|
3c968ef2f1d44b49 |
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 53 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 1 other scan for this domain