Detailed analysis of captured phishing page
Used to detect similar phishing pages based on HTML content
| Algorithm | Hash Value |
|---|---|
|
CONTENT
TLSH
|
T1D7C3A431F220315E5733D3CA75A2DF8EE273F54CDA32A558EE90A12B26D9CB60C259C5 |
|
CONTENT
ssdeep
|
1536:j3TCt51ZghITATajw/Kkf5EnFPpk8wUxpPvlftQ8l21Znhvsfkceeah6stTazUkU:b25QlX |
Used to detect visually similar phishing pages based on screenshots
| Algorithm | Hash Value |
|---|---|
|
VISUAL
pHash
|
b5369355160f961b |
|
VISUAL
aHash
|
06c31fb3c4feabff |
|
VISUAL
dHash
|
4c9761471c2e5b4a |
|
VISUAL
wHash
|
06c11ca384fe8aff |
|
VISUAL
colorHash
|
07209080001 |
|
VISUAL
cropResistant
|
4c9761471c2e5b4a |
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 362 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