Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1CD84B570E210311E5363D38B71E2CB8ED233A548DB23A65CEFA4912F67D9C750D62AD9 |
|
CONTENT
ssdeep
|
1536:j3TCl4t1ZghITATauzSC+nXwCcFRBCaWu/CeO0ACB3hgCN4yJCwSiLCwkeXCqZpe:bWC7rBngl2 |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
e0601157a3c7dadb |
|
VISUAL
aHash
|
2043d977a1fcbf4f |
|
VISUAL
dHash
|
cd9f91c64b657299 |
|
VISUAL
wHash
|
2443d067a3f4ba4f |
|
VISUAL
colorHash
|
07201000002 |
|
VISUAL
cropResistant
|
cd9f91c64b657299 |
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 664 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 1 other scan for this domain