Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T19AC3A431F220315E5733D3CA75A2DF8EE233F54CDA32A558EE90A12B26D9CB60C259C5 |
|
CONTENT
ssdeep
|
1536:j3TxhM1ZghITATajpil+irZrsIL9cj57KlhR+3r9Q8l21Znhvsfkceeah6stTaZg:bjcCnX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a4202510eedf8ddf |
|
VISUAL
aHash
|
0243bfe1e77de6f3 |
|
VISUAL
dHash
|
aa9764cf2d9b0e26 |
|
VISUAL
wHash
|
82409661a65deefb |
|
VISUAL
colorHash
|
07202200002 |
|
VISUAL
cropResistant
|
aa9764cf2d9b0e26 |
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 655 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 2 other scans for this domain