Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T167B309E483B075F99217AFD8DB32BAAB355B34BFFBA38A84837847515683C94D804C54 |
|
CONTENT
ssdeep
|
1536:HXfbX0KvlQLfUUprIvM0UrgG+nVklQLfUUNlQLfUUzR4CFKcO1+9fTirPMb:7vIikINIBFD |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
ed96905cd66113c7 |
|
VISUAL
aHash
|
1e9fe3f3f381c1ff |
|
VISUAL
dHash
|
b0354697e633134c |
|
VISUAL
wHash
|
1e9fe1d1610181df |
|
VISUAL
colorHash
|
070002001c0 |
|
VISUAL
cropResistant
|
b0354697e633134c |
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 1080 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 10 other scans for this domain