Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1FEC3A431F120315E5733D3CA75A2DF8EE273F64CDA32A558EE90A12B26D9CB60C259C5 |
|
CONTENT
ssdeep
|
1536:j3TYuE1ZghITATaXB5JtfrHkJy/JRflJw5iI5nEQ8l21Znhvsfkceeah6stTahUR:bE7wXX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
a075fb0144ffdd80 |
|
VISUAL
aHash
|
c283ff8247df697d |
|
VISUAL
dHash
|
8e145524aa36dbab |
|
VISUAL
wHash
|
e280df8243df255d |
|
VISUAL
colorHash
|
07009040002 |
|
VISUAL
cropResistant
|
8e145524aa36dbab |
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 685 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