Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T137C3A431F220315E5733D3CA75A2DF8EE273F54CDA32A558EE90A12B26D9CB60C259C5 |
|
CONTENT
ssdeep
|
1536:j3TlS1ZghITATafbj/klgnrbVUt5n0kkoGk/Q8l21Znhvsfkceeah6stTHSUk/6X:bJK/xX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
f435b1708484ded7 |
|
VISUAL
aHash
|
02c2be63e6dce3ff |
|
VISUAL
dHash
|
8e9644a68e95ca08 |
|
VISUAL
wHash
|
22c0b443e6d92aff |
|
VISUAL
colorHash
|
0720b000001 |
|
VISUAL
cropResistant
|
8e9644a68e95ca08 |
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 661 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 4 other scans for this domain