Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T13681AE21204176B7C617B94ABAA25F0921739288DEEBC1D827F84F4557F3EBC8C1E985 |
|
CONTENT
ssdeep
|
96:FjSzOJxpAt4cUvwvOPJyjLJXosnuNYZNiJvF8G:FjSzAxat4cU4WxULJXosn5k |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ce3331cc3398cc67 |
|
VISUAL
aHash
|
0000303c30381000 |
|
VISUAL
dHash
|
006064606060a000 |
|
VISUAL
wHash
|
003c3c3c3c3c3c00 |
|
VISUAL
colorHash
|
38403000000 |
|
VISUAL
cropResistant
|
a3233831316b787a,123ca428e23eb666,006064606060a000 |
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 13 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