Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1DE044CF43344A9236153879B60B7210B71AE802BD80D6EB06764DED76ED9C6E443BFC6 |
|
CONTENT
ssdeep
|
3072:KItRt6t5tvtBtGcIbpcxfzeW6i5mayI6X4y:KI4yi5mayI6X4y |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
92b9c7acf4393198 |
|
VISUAL
aHash
|
bf3c0c00ff003c3c |
|
VISUAL
dHash
|
59e9990d858a6968 |
|
VISUAL
wHash
|
ff3c0c00ff423c3c |
|
VISUAL
colorHash
|
07000000e40 |
|
VISUAL
cropResistant
|
59e9990d858a6968 |
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 812 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.